Bradley A. Malin

Vanderbilt University
• 2013 - Present, Vice Chair for Research, Department of Biomedical Informatics. School of Medicine
  
• 2017 - Present, Professor of Biomedical Informatics, Biostatistics, and Computer Science
  
• 2012 - Present, Affiliated Faculty, Center for Biomedical Ethics and Society
  
• 2016 - Present, Co-Director, Ph.D. Program in Big Biomedical Data Science
  
• 2016 - Present, Co-Director, Center for Genetic Privacy and Identity in Community Settings (GetPreCiSe)
  
• 2015 - Present, Co-Director, Health Data Science Center (HEADS)
  
• 2008 - Present, Director, Health Information Privacy Laboratory (HIPLab)
  

Previous Positions

• 2016 - 2017, Associate Professor of Biostatistics, School of Medicine, Vanderbilt University
  
• 2011 - 2017, Associate Professor of Biomedical Informatics & Computer Science, Vanderbilt University
  
• 2006 - 2011, Assistant Professor of Biomedical Informatics & Computer Science, Vanderbilt University
  
• 2003 - 2006, Research Assistant, School of Computer Science, Carnegie Mellon University
  
• 2000 - 2003, Research Assistant, Heinz College, Carnegie Mellon University
  
• 1999, Research Intern, Georgetown University Law Center
  
• 1998, Research Intern, National Cancer Institute at Frederick, National Institutes of Health
  
• 1997-2000, Research Assistant, Woolford Laboratory, Carnegie Mellon University

Carnegie Mellon University
Ph.D. in Societal Computing (formerly known as Computation, Organizations, & Society); School of Computer Science, 2006
     Dissertation: Trail Re-identification and Unlinkability in Distributed Databases (Chair: Latanya Sweeney)
M.Phil. in Public Policy and Management; Heinz College, 2003
M.S. in Machine Learning (formerly known as Knowledge Discovery and Data Mining); School of Computer Science, 2002
B.S. in Biological Sciences; Mellon College of Science, 2000

Notable General Awards

• Elected Member, National Academy of Medicine, 2018
  
• Vanderbilt Chancellor Faculty Fellow, 2016-2018
  
• IBM Smarter Planet Faculty Award, 2014-2015
  
• Elected Fellow, American College of Medical Informatics (ACMI), 2011
  
• Presidential Early Career Award for Scientists and Engineers (PECASE), 2010
  News Articles: White House, National Library of Medicine, National Human Genome Research Institute, Vanderbilt
  Photo with the Commander in Chief (thanks to Scott Aaronson for posting this)
• Stahlman Scholar, Vanderbilt Center for Biomedical Ethics and Society, 2008
• NSF IGERT Fellowship in Computational Analysis of Social & Organizational Systems, 2004-2006
• Howard Hughes Medical Institute Grant for Undergraduate Research, 2000
• Thomas H. Johnson Fellowship, Engineering & Public Policy Department, Carnegie Mellon University, 1999
• ABL-Basic Research Fellowship, National Institutes of Health, 1998

Notable Conference & Paper Awards

• Best Data Science Paper, American Medical Informatics Association Informatics Summit, 2019
• Paper (#52) named one of the best papers of 2017 by the International Medical Informatics Association
• Homer Warner Award (Best Paper), American Medical Informatics Association (AMIA) Annual Symposium, 2014
• Honorable mention for best paper award at the ACM SACMAT Conference, 2013
• Paper (#115) named of the best papers of 2012 by ACM Computing Reviews, 2013
• Best paper Award, IEEE ISI Conference, 2011
• Best Student Paper (for EA Durham), AMIA Annual Symposium, 2010
• Distinguished Paper Award, AMIA Annual Symposium, 2009
• Distinguished Paper Award Finalist, AMIA Annual Symposium, 2006
• Paper (#174) included in the 2006 IMIA Yearbook of Medical Informatics as one of the best papers of 2004-2005
• Student Paper Competition Finalist, AMIA Annual Symposium, 2005
• Student Paper Competition Finalist, AMIA Annual Symposium, 2001
• Student Paper Competition Finalist, AMIA Annual Symposium, 2000

Notable Mentions in the Federal Register

• Health Breach Notification Rule; Final Rule (16 CFR Pt 318)
  Federal Trade Commission
  Federal Register. August 25, 2009. (look at page 42968)

Notable University Awards

• Outstanding Educator Award, Department of Biomedical Informatics, Vanderbilt University, 2011
• Outstanding Researcher Award, Department of Biomedical Informatics, Vanderbilt University, 2014
• Research Enhancement Award, School of Medicine, Vanderbilt University, 2015

Advisory Boards

• Ethics Advisory Board, BioVU: the Vanderbilt DNA Databank, 2012-present
• Ethics Advisory Board, ImmPort: The Immunology Database and Analysis Portal, 2013-present
• Data Security Subcommittee, CancerLinQ program, American Society of Clinical Oncology, 2014-2016
• Stakeholder Advisory Board, Governance of Learning Activities in Learning Healthcare Systems Project, University of Pennsylvania, 2016-present
• External Advisory Board, Cleveland Institute for Computational Biology, 2017-present
• Technical Anonymisation Group, European Medicines Agency, 2017-present
• Scientific Advisory Board, Data Integration for Future Medicine (DIFUTURE), sponsored by German Ministry of Research, 2018-present
• External Advisory Board, Integration and Analysis of Heterogeneous Big Data for Precision Medicine (IASIS), an EU Horizon 2020 Project, 2018-present

Awards Committees

• Caspar Bowden Award (formerly the Privacy Enhancing Technologies Award), 2012, 2013, 2016, 2017

Grant Proposal Review Committeees

• Study Section Member, Biomedical Computing and Health Informatics, National Institutes of Health, 2015 - 2019
• Panel Reviewer, National Science Foundation, 2007 - Present
• Panel Reviewer, Bioengineering Sciences & Technologies, National Institutes of Health, 2012
• Panel Reviewer, Office of the National Coordinator for Health Information Technology, 2010
• Panel Reviewer, SBIR Program, National Heart, Lung, & Blood Institute, National Institutes of Health, 2011 - 2012
• Mail Reviewer, Australian Research Council, 2013
• Mail Reviewer, Austrian Science Fund, 2012
• Mail Reviewer, Army Research Laboratory, 2010
• Mail Reviewer, Challenge Grant (RC1), National Institutes of Health, 2009
• Mail Reviewer, Biomedical Ethics Section, Wellcome Trust (UK), 2009

National Study Committees

• National Research Committee, Revisions to the Common Rule for the Protection of Human Subjects in Research in the Behavioral and Social Sciences, 2013
• National Academy of Medicine Committee, Management of the Air Force Health Study Data and Specimens, 2012 - 2015
• National Academy of Medicine Committee, Review of the Appropriate Use of AFIP's Tissue Repository Following its Transfer to the Joint Pathology Center, 2011 - 2012
• Transportation Research Board Committee, Safety Data Access Expert Task Group of the Strategic Highway Research Program, 2015 - present
• National Academy of Medicine Steering Committee, Building Stakeholder Demand for Health Data Sharing, Linkage, and Use, 2018 - present

Professional Society Committees

• Nominating Committee, American Medical Informatics Association, 2012 - 2015
• Awards Committee, American Medical Informatics Association, 2016 - present

Steering Committees

• iDASH Healthcare Privacy Protection Challenge, 2014 - 2017
• Next Generation Community Financial Cyberinfrastruture for Managing Systemic Risk Workshop, 2012
• Mobility, Data Mining, and Privacy Conference, 2011
• International Workshop on Genome Privacy and Security (GenoPri), 2016-present

Editorial Functions

• Associate Editor, ACM Transactions on Privacy and Security, 2014 - present
• Editorial Board, Journal of the American Medical Informatics Association, 2013 - present
• Editorial Board, Learning Health Systems, 2015 - present
• Editorial Board, Proceedings of the Very Large Data Bases Endowment (PVLDB), 2013 - 2014
• Editorial Board, Methods of Information in Medicine, 2012 - 2016
• Editorial Board, Transactions on Data Privacy, 2008 - present
• Editor (with F. Bonchi, E. Ferrari, and W. Jiang), Proceedings of the 2nd ACM SIGKDD International Workshop on Privacy Security, & Trust in KDD, Revised Selected Papers. Lecture Notes in Computer Science, Springer. Vol. 5456, 2009.
• Editor (with F. Bonchi, E. Ferrari, and Y. Saygin), Proceedings of the 1st ACM SIGKDD International Workshop on Privacy Security, & Trust in KDD, Revised Selected Papers. Lecture Notes in Computer Science, Springer. Vol. 4890, 2008.
• Guest Editor, Annals of Applied Statistics, 2016
• Guest Editor (with K. El Emam and C. O'Keefe), Journal of the American Medical Informatics Association, 2012
• Guest Editor (with F. Bonchi and Y. Saygin), Data and Knowledge Engineering Journal, 2007
• Managing Editor, Journal of Privacy Technology, 2004 - 2006

General and Organizing Chair

• Dagstuhl Seminar on Genomic Privacy, 2015
• Electronic Health Information & Privacy Conference, 2009
• Genome Privacy and Security Workshop (@ the American Medical Informatics Association Annual Fall Symposium), 2016
• Workshop on the HIPAA Privacy Rule's De-identification Standard, Office for Civil Rights, U.S. Dept. of Health and Human Services, 2010

Scientific Program Chair

• Genome Privacy and Security Workshop (@ the IEEE Symposium on Security and Privacy), 2015
• Privacy and Security for Moving Objects Workshop (@ the IEEE Mobile Data Management Conference), 2013
• Privacy, Security, & Trust in KDD Workshop (@ the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining), 2007, 2008
• Privacy Aspects of Data Mining Workshop (@ the IEEE International Conference on Data Mining), 2006, 2009

Scientific Program Committees

• AAAI: American Association for Artificial Intelligence Annual Conference, 2016, 2017, 2018, 2019

• AIKE: IEEE International Conference on Artificial Intelligence and Knolwedge Engineering, 2018, 2019

• AMIA: American Medical Informatics Association Annual Fall Symposium, 2010, 2013, 2016, 2018,2019

• ASIA: Annual Symposium on Information Assurance, 2013, 2014, 2015, 2016, 2019

• AusDM: Australasian Data Mining Conference, 2007, 2008, 2009, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019

• BCB: ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, 2015, 2016, 2017

• BIGDATA: IEEE International Conference on Big Data, 2013, 2014, 2015, 2016, 2017, 2018, 2019

• BIGCONGRESS: IEEE Big Data Congress, 2014, 2016, 2017, 2018, 2019

• CAI: Canadian Conference on Artificial Intelligence, 2014, 2018, 2019

• CECC: Central European Cybersecurity Conference, 2017, 2018, 2019

• CD-MAKE: International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE), 2018, 2019

• CIKM: ACM International Conference on Information and Knowledge Management: 2019

• CODASPY: ACM Conference on Data and Application Security and Privacy, 2019

• CRI: AMIA Summit on Clinical Research Informatics, 2017

• DBSEC: Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, 2018, 2019

• DEPM: International Workshop on Emerging Data Engineering Methods and Approaches for Precision Medicine, 2018

• DILS: International Conference on Data Integration in the Life Sciences, 2012, 2013

• DPM: Data Privacy Management International Workshop
  (@ European Symposium on Research in Computer Security), 2011, 2013, 2017, 2019

• DSAA: International Conference on Data Science and Advanced Analytics, 2014, 2015

• DSS: IEEE International Conference on Data Science and Systems, 2017, 2018

• ECML/PKDD: European Conference on Machine Learning & Principles & Practice of Knowledge Discovery in Data Mining, 2008, 2009, 2010

• FAB: International Symposium on Foundations and Applications of Big Data Analytics, 2015, 2016, 2017, 2018

• GSS: Graduate Students Symposium
  (@ Canadian AI Conference), 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017

• GenoPri: International Workshop on Genome Privacy and Security, 2015, 2017, 2018

• HealthSec: USENIX Workshop on Health Security and Privacy
  (@ USENIX Security Symposium), 2012

• HealthTech: USENIX Workshop on Health Information Technologies
  (@ USENIX Security Symposium), 2013, 2014, 2015

• HISB: IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology, 2011, 2012

• ICBK: IEEE International Conference on Big Knowledge, 2017

• ICDE: IEEE International Conference on Data Engineering, 2012, 2016

• ICDM: IEEE International Conference on Data Mining, 2008, 2009, 2010, 2011, 2013, 2014, 2015, 2016, 2017, 2018, 2019

• ICSP: IEEE International Conference on Semantic Computing, 2019, 2020

• ICHI: IEEE International Conference on Healthcare Informatics, 2013, 2014

• IHI: ACM International Health Informatics Symposium, 2010, 2012

• IJCAI: International Joint Conference on Artificial Intelligence, 2019

• IPC: Intelligent Methods for Protecting Privacy & Confidentiality of Data
  (@ Canadian AI Conference), 2010

• ISI: IEEE International Conference on Intelligence and Security Informatics, 2010, 2012, 2013, 2015, 2016, 2017, 2019

• ISMB: Conference on Intelligent Systems for Molecular Biology, 2018, 2019

• IWCC: IEEE Workshop on Cloud Compliance
  (@ IEEE International Conference on Distributed Computing Systems), 2015

• MEDINFO: World Congress on Medical and Health Informatics, 2013

• MOTHIS: ACM/IEEE Model-Based Trustworthy Health Information Systems Workshop, 2007, 2008

• PADM: Privacy Aspects of Data Mining Workshop
  (@ IEEE International Conference on Data Mining), 2010, 2013

• PAIS: Privacy & Anonymity in the Information Society Workshop
  (@ International Conference on Extending Database Technology, @ IEEE International Conference on Data Mining), 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017

• PAKDD: Pacific-Asia Conference on Knowledge Discovery & Data Mining, 2009, 2012, 2014

• PDDM: Privacy and Discrmination in Data Mining Workshop
  (@ IEEE International Conference on Data Mining), 2016

• PET: Privacy Enhancing Technologies Symposium, 2007, 2008, 2009, 2010, 2011

• PIBD: Population Informatics for Big Data Workshop
  (@ ACM SIGDD International Conference on Knowledge Discovery and Data Mining), 2015

• POW: Privacy on the Web Technical Track @ ACM Symposium on Applied Computing, 2009

• PPDA: Privacy Preserving Data Analysis Workshop
  (@ International Conference on Database Systems for Advanced Applications), 2009

• PPDM: Practical Privacy-Preserving Data Mining Workshop
  (@ SIAM International Conference on Data Mining), 2008

• PSD: Privacy in Statistical Databases Conference, 2008, 2010, 2012, 2014, 2016, 2018

• PSDM: Privacy and Security Issues in Data Mining and Machine Learning Workshop (at ECML/PKDD), 2010

• PST: IEEE International Conference on Privacy, Security, and Trust, 2010, 2011, 2012, 2013

• SACMAT: ACM Symposium on Access Control Models and Technologies, 2012

• SEHC: Software Engineering in Health Care Workshop, 2011, 2012, 2013, 2014, 2016, 2018

• SCH: ACM International Workshop on Smart and Connected Health
  (@ the ACM Conference on Bioinformatics, Computational Biology, and Health Informatics), 2015

• SKM: Secure Knowledge Management Workshop, 2008, 2010, 2012

• TBI: AMIA Summit on Translational Bioinformatics, 2009, 2015

• W2SP: Web 2.0 Security and Privacy Workshop
  (@ IEEE Security & Privacy Conference), 2014, 2015

• WICSOC: IEEE Workshop on Issues and Challenges in Social Computing
  (@ IEEE Conference on Information Reuse and Integration), 2014, 2015

• WPES: ACM Workshop on Privacy in the Electronic Society
  (@ ACM Conference on Computer and Communications Security), 2011, 2012, 2014

Ad hoc referee for various books, journals, and magazines, including:

ACM Transactions on Knowledge Discovery in Data ACM Transactions on Internet Technology ACM/IEEE Transactions on Computational Biology and Bioinformatics Artificial Intelligence in Medicine BMC Medical Informatics & Decision Making Communications of the ACM Computers in Biology and Medicine Computers and Security Data and Knowledge Engineering (Elsevier) Data Mining and Knowledge Discovery (Springer) IEEE Security & Privacy Magazine IEEE Transactions on Dependable and Secure Computing IEEE Transactions on Knowledge & Data Engineering IEEE Transactions on Engineering Management IEEE Transactions on Mobile Computing

IEEE Transactions on Software Engineering Journal of the American Medical Informatics Association Journal of Biomedical Informatics Journal of Medical Internet Research Journal of Privacy Technology Machine Learning Journal Methods of Information in Medicine Nature Nature Biotechnology PNAS, USA Science Magazine Scientific Reports Theoretical Computer Science (Elsevier) Very Large Data Bases (VLDB) Journal

University & Departmental Committees

• Executive Committee, Data Science Institute, 2018-present
• Faculty Advisory Committee, Center for Technology Transfer & Commercialization, Vanderbilt University, 2013 - present
• Faculty Advisory Committee, Advanced Computing Center for Research and Education, Vanderbilt University, 2016 - 2018
• Faculty Search Committee, Department of Electrical Engineering & Computer Science, Vanderbilt University, 2012 - 2013, 2014 - 2015, 2017-2018
• Limited Submission Review Committee, School of Medicine, Vanderbilt University, 2017-present
• Provost's Data Science Visions Working Group, Vanderbilt University, 2017-2018
• Provost's Master's in Data Science Special Task Force, Vanderbilt University, 2017-2018
• Student Admissions Committee, Department of Biomedical Informatics, Vanderbilt University, 2007 - present

Principle Investigator (or Co-PI)

1. Vanderbilt Biomedical Informatics Traning Program
   Grant 2T15LM007450, National Library of Medicine, National Institutes of Health, 7/2017 - 6/2022, ~$1,700,000
   (Co-PI: Cynthia Gadd and Gretchen Purcell Jackson)


2. BIDS: Vanderbilt Traning Program in Big Biomedical Data Science
   Grant 1T32LM012412, Office of the Director, National Institutes of Health, 4/2016 - 3/2021, ~$1,600,000
   (Co-PI: Jeffrey Blume and Cynthia Gadd)


3. A Risk Management Framework for Identifiability in Genomics Research
   Grant 2R01HG006844, National Human Genome Research Institute, National Institutes of Health, 9/2016 - 9/2020, ~$1,000,000
   Grant 1R01HG006844, National Human Genome Research Institute, National Institutes of Health, 9/2012 - 9/2016, ~$1,600,000
   


4. Genetic Privacy and Identity in Community Settings: An ELSI Research Center
   Grant 1RM1HG009034, National Human Genome Research Institute, National Institutes of Health, 5/2016 - 4/2020, ~$4,000,000
   (Co-PI: Ellen Wright Clayton)


5. Automated Detection of Anomalous Accesses to Electronic Health Records
   Grant 1R01LM010207, National Library of Medicine, National Institutes of Health, 9/2014 - 9/2018, ~$1,450,000
   Grant 1R01LM010207, National Library of Medicine, National Institutes of Health, 9/2009 - 9/2013 (no cost extension to 9/2014), ~$950,000
   


6. High-throughput Phenotyping on Electronic Health Records using Multi-Tensor Factorization
   Grant 1418504, Smart and Connected Health, National Science Foundation, 9/2014 - 8/2018, ~$700,000
   (Co-PI: Josh Denny; Collaborative research with PIs: Jimeng Sun @ Georgia Tech, Joydeep Ghosh @ University of Texas, and Abel Kho @ Northwestern University)
   


7. Analysis and Tools for Auditing Insider Accesses
   Grant 1526014, Secure & Trustworthy Computing, National Science Foundation, 9/2015 - 8/2018, ~$497,000
   (Co-PI: Daniel Fabbri and Jonathan Wanderer)
   


8. EAGER: Managing Information Risk and Breach Discovery
   Grant 1536871, Secure & Trustworthy Computing, National Science Foundation, 10/2015 - 9/2017, ~$300,000
   (Co-PI: Daniel Fabbri and Laurie Novak)
   


9. Scalable and Robust Clinical Text De-identification Tools
   Grant 1R01LM011366, National Library of Medicine, National Institutes of Health, 9/2012 - 8/2016, ~$400,000 subcontract
   (This is a subcontract from PI: David Carrell @ Group Health Cooperative)
   


10. Experience-Based Access Management (EBAM) for Hospital Information Technology
    Grant 0964063, Division of Computer and Network Systems, National Science Foundation, 4/2010 - 3/2015, ~$400,000
    (Multisite: PI: Carl Gunter @ UIUC; PI: David Liebovitz @ Northwestern University Medical Center)
    


11. Technologies to Enable Privacy in Biomedical Databanks
    Grant 1R01LM009989, National Library of Medicine, National Institutes of Health, 9/2009 - 8/2016, ~$1,500,000
    (Subcontract PI: Murat Kantarcioglu @ University of Texas at Dallas)
    


12. Evaluating Software Tools for Protecting Medical Information Privacy
    Seed Grant, Vanderbilt University International Office, 5/2008 - 1/2009, $10,000
    


13. Developing and Teaching Biomedical Data Privacy Technologies
    Vanderbilt Center for Biomedical Ethics and Society, 1/2008 - 6/2008, $20,000
    

Key Personnel

12. Data and Research Support Center for the Precision Medicine Initiative
    Grant U2COD023196, Office of the Director, National Institutes of Health, 7/2016 - 6/2021
    (PI: Josh Denny)
    


13. Crowd Sourcing Labels from Electronic Medical Records to Enable Biomedical Research
    Grant UH2CA203708, Office of the Director, National Institutes of Health, 5/2016 - 4/2018
    (PI: Daniel Fabbri)
    


14. Precision Medicine Initiative Participants Preparatory / Protyping Initiative
    Grant OT2OD023132, Office of the Director, National Institutes of Health, 2/2016 - 2/2017
    (PI: Joshua Denny)
    


15. The Mid-South Clinical Data Research Network
    Grant # TBD, Patient Centered Outcomes Research Institute, 9/2015 - 8/2017
    (PI: Russell Rothman)
    


16. Chicago Area Patient-Centered Outcomes Research Network
    Grant # TBD, Patient Centered Outcomes Research Institute, 9/2016 - 8/2017
    (PI: Terry Mazany @ The Chicago Community Trust)
    


17. Electronic Medical Records and Genomics (eMERGE) Consortium Coordination Center - Phase 3
    eMERGE Consortium Coordination Center - Phase 2
    eMERGE Consortium Coordination Center
    Currently Grant 1U01HG006385, National Human Genome Research Institute, National Institutes of Health, 8/2015 - 7/2019
    


18. Vanderbilt Genome Electronic Record (VGER) Project - Phase 3
    VGER Project - Phase 2
    VGER Project
    Currently Grant 1U01HG006378, National Human Genome Research Institute, National Institutes of Health, 8/2015 - 7/2019
    (PIs: Dan Roden and Josh Denny@ Vanderbilt)
    


19. Studying Privacy Protection Methods for Multiple Independent Data Releases
    Grant DP110103142, Australian Research Council, 9/2011 - 8/2013
    (PI: Jiuyong Li @ University of South Australia)
    


20. Privacy Preserving Methods for Sharing Longitudinal Electronic Health Records
    Grant CIHR-I200909EOG, Canadian Institutes of Health, 3/2010 - 3/2013
    (PI: Khaled El Emam @ University of Ottawa)
    


21. Team for Research in Ubiquitous Secure Technology
    Grant CCF-0424422, National Science Foundation, 6/2005 - 9/2015 [joined grant in 9/2007]
    (PI: Shankar Sastry @ UC Berkeley; Vanderbilt Co-PI: Janos Sztipanovits)
    

Peer-Reviewed Book Chapters

1. Data Sharing that Enables Post-Approval Drug and Device Research and Protects Patient Privacy: Best Practice Recommendations
   Ameet Sarpatwari, Bradley Malin, Aaron Kesselheim, Joshua Gagne, and Sebastian Schneeweiss
   In Big Data, Health Law, and Bioethics, Forthcoming.
   
   
2. Assessing Risks to Privacy in Biospecimen Research
   Ellen Wright Clayton and Bradley Malin
   In Specimen Science: Ethics and Policy Implications, MIT Press. 2017.
   
   
3. Methods to Mitigate Risk of Composition Attack in Independent Publications
   Jiuyong Li, Sarowar Sattar, Muzammil Baig, Jixue Liu, Raymond Heatherly, Qiang Tang, and Bradley Malin
   In Medical Data Privacy Handbook, Springer Press. 2015.
   
   
4. A Survey of Challenges and Solutions for Privacy in Clinical Genomics Data Mining
   Bradley Malin, Chris Cassa, and Murat Kantarcioglu
   In Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques, Chapman Hall / CRC Press. 2011.
   
   
5. An Integrative Anonymity-Preserving Framework for Disseminating Patient Records
   Grigorios Loukides, Aris Gkoulalas-Divanis, and Bradley Malin
   In Database Technology for Life Sciences and Medicine, World Scientific. 2010.
   


6. Ethics of Data Sharing and Handling of Genetic Information
   Bradley Malin, David Karp, and Richard Scheuermann
   In Clinical Research: From Proposal to Implementation, Wolter Kluwer. 2010.


7. Privacy Protection: Regulations and Technologies, Opportunities and Threats
   Dino Pedreschi, Francesco Bonchi, Franco Turini, Vassilis Verykios, Maurizio Atzori, Bradley Malin, Bart Moelans, and Yucel Saygin
   In Mobility, Data Mining, and Privacy, Springer Press. 2008.

Peer-Reviewed Publications

8. Determining the Impact of Missing Values on Blocking in Record Linkage
   Imrul Chowdhury Anindya, Murat Kantarcioglu, and Bradley Malin
   Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019: 262-274.
   


9. The Machine Giveth and the Machine Taketh Away: A Parrot Attack on Clinical Text De-identified with Hiding in Plain Sight
   David Carrell, David Cronkite, Muqun Li, Steve Nyemba, Bradley Malin, John Aberdeen, Lynette Hirschman
   Journal of the American Medical Informatics Association, 2019; forthcoming.
   


10. Leveraging Electronic Health Records to Learn Progression Path for Severe Maternal Morbidity
    Cheng Gao, Sarah Osmundson, Bradley Malin, and You Chen
    Proceedings of the 17th World Confress on Medical and Health Informatics - Medinfo, 2019; forthcoming.
    


11. Learning to Identify Severe Maternal Morbidity from Electronic Health Records
    Cheng Gao, Sarah Osmundson, Bradley Malin, and You Chen
    Proceedings of the 17th World Confress on Medical and Health Informatics - Medinfo, 2019; forthcoming.
    


12. CP Tensor Decomposition with Cannot-Link Intermode Constraints
    Jette Henderson, Bradley Malin, Joshua C Denny, Abel Kho, Jimeng Sun, Joydeep Ghosh, Joyce Ho
    Proceedings of the SIAM Data Mining Conference, 2019: 711-719.
    


13. DMMS: A Decentralized Blockchain Ledger for the Management of Medication Histories
    Patrick Li, Scott Nelson, Bradley Malin, and You Chen
    Blockchain in Healthcare Today, 2019; 2: 38.
    


14. Efficient Active Learning for Electronic Medical Record De-identification
    Muqun Li, Martin Scaiano, Khaled El Emam, and Bradley Malin
    Proceedings of the AMIA Informatics Summit, 2019; forthcoming.
    Award: Best Data Science Paper


15. Biomedical Research Cohort Membership Disclosure on Socia Media
    Yongtai Liu, Chao Yan, Zhijun Yin, Zhiyu Wan, Weiyi Xia, Murat Kantarcioglu, Yevgeniy Vorobeychik, Ellen Wright Clayton, and Bradley Malin
    Proceedings of the American Medical Informatics Association Annual Symposium, 2019; forthcoming.
    


16. Forecasting the Readmission of Patients with Ischemic Heart Disease Through Patient Portal Messages
    Lina Sulieman, Bradley Malin, and Zhijun Yin
    Proceedings of the American Medical Informatics Association Annual Symposium, 2019; forthcoming.
    


17. A Semantic Cover Approach for Topic Modeling
    Rajagopal Venkatesaramani, Douglas Downey, Bradley Malin, and Yevgeniy Vorobeychik
    Proceedings of the 8th Joint Conference on Lexical and Computational Semantics, 2019; forthcoming.
    


18. Database Audit Workload Prioritization via Game Theory
    Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, and Bradley Malin
    ACM Transactions on Privacy and Security, 2019; forthcoming.
    


19. Patient Messaging Content Associated with Initiating Hormonal Therapy After a Breast Cancer Diagnosis
    Zhijun Yin, Qingxia Chen, Jeremy Warner, and Bradley Malin
    Proceedings of the American Medical Informatics Association Annual Meeting, 2019; forthcoming.
    


20. A Systematic Literature Review of Machine Learning in Online Personal Health Data
    Zhijun Yin, Lina Sulieman, and Bradley Malin
    Journal of the American Medical Informatics Association, 2019; forthcoming.
    


21. Learning Bundled Care Opportunities from Electronic Medical Records
    You Chen, Abel Kho, David Liebovitz, Catherine Ivory, Sarah Osmundson, Jian Biang, and Bradley Malin
    Journal of Biomedical Informatics, 2018; 77: 1-10.
    


22. Interaction Patterns of Trauma Providers Are Associated with Length of Stay
    You Chen, Mayur Patel, Candace McNaughton, and Bradley Malin
    Journal of the American Medical Informatics Association, 2018; 25(7): 790-799.
    


23. A Systematic Literature Review of Individuals' Perspectives on Privacy and Genetic Information in the United States
    Ellen Wright Clayton, Colin Halverson, Nila Sathe, and Bradley Malin
    PLoS One, 2018; 13(10): e0204417.
    


24. Registered Access: Authorizing Data Access
    Stephanie Dyke, Mikael Linden, Ilkka Lappalainen, Jordi Rambla De Argila, William Knox Carey, David Lloyd, J. Dylan Spalding, Moran Cabili, Giselle Kerry, Julia Foreman, Timothy Cutts, Mahsa Shabani, Laura Rodriguez, Maximilian Haeussler, Brian Walsh, Xiaoqian Jiang, Shuang Wang, Daniel Perrett, Tiffany Boughtwood, Andreas Matern, Anthony Brookes, Miro Cupak, Marc Fiume, Ravi Pandya, Ilia Tulchinsky, Serena Scollen, Samir Das, Alan Evans, Bradley Malin, Stephan Beck, Steven Brenner, Tommi Nyronen, Niklas Blomberg, Helen Firth, Matthew Hurles, Anthony Philippakis, Gunnar Ratsch, Michael Brudno, Kym Boycott, Heidi Rehm, Michael Baudis, Kazuto Kato, Bartha Knoppers, Dixie Baker, and Paul Flicek
    European Journal of Human Genetics, 2018; 26(12): 1721-1731.
    


25. Is it Time to Establish a Universal Forensic Database?
    James Hazel, Ellen Wright Clayton, Bradley Malin, and Chris Slobogin
    Science, 2018: 362(6417): 898-900.
    Popular Media Articles About this Research: Bloomberg, Genetic Engineering & Biotechnology News, Phys.org, Forensic Magazine, Singularity Hub


26. Phenotyping Through Semi-Supervised Tensor Factorization
    Jette Henderson, Huan He, Bradley Malin, Joshua Denny, Abel Kho, Joydeep Ghosh, and Joyce Ho
    Proceedings of the American Medical Informatics Association Annual Fall Symposium (AMIA), 2018: forthcoming.
    


27. PIVETed-Granite: Computational Phenotypes Through Constraint Tensor Factorization
    Jette Henderson, Bradley Malin, Joyce Ho, and Joydeep Ghosh
    Proceedings of the Workshop on Machine Learning for Medicine and Healthcare, at the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , 2018.
    


28. Development of an Automated Phenotyping Algorithm for Hepatorenal Syndrome
    Jejo Koola, Sharon Davis, Omar Al-Nimri, Sharidan Parr, Daniel Fabbri, Bradley Malin, Samuel B Ho, and Michael Matheny
    Journal of Biomedical Informatics, 2018; 80: 87-95.
    


29. Predicting Neonatal Encephalopathy from Maternal Data in Electronic Health Records
    Thomas Li, Cheng Gao, Chao Yan, Sarah Osmundon, Bradley Malin, and You Chen
    Proceedings of the American Medical Informatics Association Informatics Summit, 2018: 359-368.
    


30. Automated Collection of Pathogen-Specific Diagnostic Data for Real-time Syndromic Epidemiological Studies
    Lindsay Meyers, Christine C. Ginocchio, Aimie N. Faucett, Frederick S. Nolte, Per H. Gesteland, Amy Leber, Diane Janowiak, Virginia Donovan, Jennifer Dien Bard, Silvia Spitzer, Kathleen A. Stellrecht, Hossein Salimnia, Rangaraj Selvarangan, Stefan Juretschko, Judy A. Daly, Jeremy C. Wallentine, Kristy Lindsey, Franklin Moore, Sharon L. Reed, Maria Aguero-Rosenfeld, Paul D. Fey, Gregory A. Storch, Steve J. Melnick, Christine C. Robinson, Jennifer F. Meredith, Camille V. Cook, Robert K. Nelson, Jay D. Jones, Samuel V. Scarpino, Benjamin M. Althouse, Kirk M. Ririe, Bradley Malin, Mark A. Poritz
    JMIR Public Health and Surveillance, 2018; 4(3): e59.
    


31. Detecting the Presence of an Individual in Phenotypic Summary Data
    Yongtai Liu, Zhiyu Wan, Weiyi Xia, Murat Kantarcioglu, Yevgeniy Vorobeychik, Ellen Wright Clayton, Abel Kho, David Carrell, and Bradley Malin
    Proceedings of the American Medical Informatics Association Annual Fall Symposium (AMIA), 2018: 760-769.
    


32. Enabling Open Science Initiatives in Clinical Psychology and Psychiatry Without Sacrificing Patient Privacy: Current Practices and Future Challenges
    Colin Walsh, Weiyi Xia, Muqun Li, Joshua Denny, Paul Harris, and Bradley Malin
    Advances in Methods and Practices in Psychological Science, 2018; 1(1): 104-114.
    


33. It's All in the Timing: Calibrating Temporal Penalties for Biomedical Data Sharing
    Weiyi Xia, Zhiyu Wan, Zhijun Yin, James Gaupp, Yongtai Liu, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, and Bradley Malin
    Journal of the American Medical Informatics Association, 2018; 25(1): 25-31.
    


34. Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing
    Chao Yan, Bo Li, Daniel Fabbri, Aaron Laszka, Yevgeniy Vorobeychik, and Bradley Malin
    Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), 2018: 1304-1307.
    


35. Mining the Best Observational Window to Model Social Phenomena
    Chao Yan, Zhijun Yin, Stanley Xiang, You Chen, Yevgeniy Vorobeychik, Daniel Fabbri, Abel Kho, David Liebovitz, and Bradley Malin
    Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing (CIC), 2018: 46-55.
    


36. A Crowdsourcing Framework for Sensitive and Complex Data Sets
    Cheng Ye, Joseph Coco, Bradley Malin, Thomas Lasko, Laurie Novak, Joshua Denny, Yevgeniy Vorobeychik, Chen Hajaj, Anna Epishova, Henry Bogardus, and Daniel Fabbri
    Proceedings of the American Medical Informatics Association Informatics Summit, 2018: 273-280.
    


37. Learning When Communications Between Healthcare Providers Indicate Hormonal Therapy Treatment Adherence
    Zhijun Yin, Jeremy Warner, and Bradley Malin
    Proceedings of the American Medical Informatics Association Annual Fall Symposium (AMIA), 2018: 1591-1600.
    


38. The Therapy is Making Me Sick: How Online Portal Communications Between Breast Cancer Patients and Physicians Indicate Medication Discontinuation
    Zhijun Yin, Morgan Harrell, Jeremy Warner, Qingxia (Cindy) Chen, Daniel Fabbri, and Bradley Malin
    Journal of the American Medical Informatics Association, 2018; 25(11): 1444-1451.
    


39. De Facto Diagnosis Specialties: Recognition and Discovery
    Aston Zhang, Xun Lu, Carl Gunter, Shuochao Yao, Fangbo Tao, Rongda Zhu, Huan Gui, Daniel Fabbri, David Liebovitz, and Bradley Malin
    Learning Health Systems, 2018; 2(3): e10057.
    


40. Towards a Privacy Preserving Cohort Discovery Framework for Clinical Research Networks
    Jian Biang, Jaiwai Yuan, Bradley Malin, Francois Modave, Yi Guo, William Hogan, and Elizabeth Shenkman
    Journal of Biomedical Informatics, 2017; 66: 42-51.
    


41. Identifying Collaborative Care Teams through Electronic Medical Record Utilization Patterns
    You Chen, Nancy Lorenzi, Warren Sandberg, Kelly Wolgast, and Bradley Malin
    Journal of the American Medical Informatics Association, 2017; 24(e1): e111-e120.
    


42. Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
    Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun
    Proceedings of the Machine Learning in Healthcare Conference (MLHC), 2017: forthcoming.
    


43. Building a Dossier on the Cheap: Integrating Distributed Personal Data Resources Under Cost Constraints
    Imrul Chowdhury Anindya, Harichandan Roy, Murat Kantarcioglu, Bradley Malin
    Proceedings of the 26th ACM Conference on Information and Knowledge Management (CIKM), 2017: 1549-1558.
    


44. Predicting Length of Stay for Obstetric Patients via Electronic Medical Records
    Cheng Gao, Abel Kho, Catherine Ivory, Sarah Osmundson, Bradley Malin, and You Chen
    Proceedings of the 16th World Congress on Medical and Health Informatics - MEDINFO, 2017; 245: 1019-1023.
    


45. Evaluating the Effectiveness of Auditing Rules for Electronic Health Record Systems
    Monica Hedda, Chao Yan, Bradley Malin, and Daniel Fabbri
    Proceedings of the 2017 American Medical Informatics Association Annual Fall Symposium (AMIA), 2017: 866-875.
    


46. Granite: Diversified, Sparse Tensor Factorization for Electronic Health Record-Based Phenotyping
    Jette Henderson, Joyce Ho, Abel Kho, Joshua Denny, Bradley Malin, Jimeng Sun, and Joydeep Ghosh
    Proceedings of the IEEE International Conference on Healthcare Informatics (ICHI), 2017: 214-223.
    


47. A Game-Theoretic Approach for Alert Prioritization
    Aron Laszka, Yevgenity Vorobeychik, Daniel Fabbri, Chao Yan, and Bradley Malin
    Proceedings of the AAAI Workshop on Artificial Intelligence for Cyber Security (AICS), 2017.
    


48. An Iterative Classification Scheme for Sanitizing Large-Scale Datasets
    Bo Li, Yevgeniy Vorobeychik, Muqun (Rachel) Li, and Bradley Malin
    IEEE Transactions on Knowledge and Data Engineering, 2017; 29(3): 698-711.
    


49. An Open Source Tool for Game Theoretic Health Data De-identification
    Fabian Prasser, James Gaupp, Zhiyu Wan, Weiyi Xia, Yevgeniy Vorobeychik, Murat Kantarcioglu, Klaus Kuhn, and Bradley Malin
    Proceedings of the 2017 American Medical Informatics Association Annual Fall Symposium (AMIA), 2017: 1430-1439.
    


50. Controlling the Signal: Practical Protection of Genomic Data Sharing In Beacon Services
    Zhiyu Wan, Yevgeniy Vorobeychik, Murat Kantarcioglu, and Bradley Malin
    BMC Medical Genomics, 2017, 10(Suppl 2): 39.
    


51. Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach
    Zhiyu Wan, Yevgeniy Vorobeychik, Weiyi Xia, Ellen Wright Clayton, Murat Kantarcioglu, and Bradley Malin
    American Journal of Human Genetics, 2017; 100(2): 316-322.
    Award: Named one of the best health informatics papers in 2017 by the International Medical Informatics Association
    Popular Media Articles About this Research: Eureka


52. A Community Effort to Protect Genomic Data Sharing, Collaboration and Outsourcing
    Shuang Wang, Xiaoqian Jiang, Haixu Tang, Xiaofeng Wang, Diyue Bu, Knox Carey, Stephanie OM Dyke, Dov Fox, Chao Jiang, Kristin Lauter, Bradley Malin, Heidi Sofia, Amalio Telenti, Lei Wang, Wenhao Wang, and Lucila Ohno-Machado
    Genomic Medicine, 2017; 2: 33.
    


53. The Power of the Patient Voice: Learning Indicators of Hormonal Therapy Adherence From an Online Breast Cancer Forum
    Zhijun Yin, Bradley Malin, Jeremy Warner, Pei-Yun Hsueh, and Ching-Hua Chen
    Proceedings of the AAAI Conference on Weblogs and Social Media (ICWSM), 2017: 337-346.
    


54. Talking About My Care: Detecting Mentions of Hormonal Therapy Adherence Behavior in an Online Breast Cancer Community
    Zhijun Yin, Wei Xie, and Bradley Malin
    Proceedings of the 2017 American Medical Informatics Association Annual Fall Symposium (AMIA), 2017: 1868-1877.
    


55. Reciprocity and its Association with Treatment Adherence in an Online Breast Cancer Forum
    Zhijun Yin, Lijun Song, and Bradley Malin
    Proceedings of the IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2017: 618-623.
    


56. Is the Juice Worth the Squeeze? Costs and Benefits of Multiple Human Annotators for Clinical Text De-identification
    David Carrell, David Cronkite, Bradley Malin, John Aberdeen, and Lynette Hirschman
    Methods of Information in Medicine, 2016; 55(4): 356-364.
    


57. Patient Stratification Using Electronic Health Records from a Chronic Disease Management Program
    Robert Chen, Jimeng Sun, Robert S. Dittus, Daniel Fabbri, Jaqueline Kirby, Cheryl L. Laffer, Candace McNaughton, and Bradley Malin
    IEEE Journal of Biomedical and Health Informatics, forthcoming.
    


58. A Cloud-Based Epidemiology Network to Track Gastrointestinal Pathogens in Real Time
    Aimie Faucett, Rob Nelson, Frederick Nolte, Maria Aguero-Rosenfeld, Judy Daly, Jeremy Wallentine, Sharon Reed, Amy Leber, Margarita Rogatcheva, Bradley Malin, Christine Ginocchio, Mark Poritz, and Lindsay Meyers
    Journal of Molecular Diagnostics, 2016; 18(6): 988-989.
    


59. A Multi-Institution Evaluation of Clinical Profile Anonymization
    Raymond Heatherly, Luke Rasmussen, Peggy Peissig, Jennifer Pacheco, Paul Harris, Joshua Denny, and Bradley Malin
    Journal of the American Medical Informatics Association, 2016; 23(e1): e131-e137.
    


60. Preserving Temporal Relations in Clinical Data While Maintaining Privacy
    George Hripcsak, Parsa Mirhaji, Alex Low, and Bradley Malin
    Journal of the American Medical Informatics Association, 2016; 23(6): 1040-1045.
    


61. Optimizing Annotation Resources for Natural Language De-identification via a Game Theoretic Framework
    Muqun (Rachel) Li, David Carrell, John Aberdeen, Lynette Hirschman, Jacqueline Kirby, Bo Li, Yevgeniy Vorobeychik, and Bradley Malin
    Journal of Biomedical Informatics, 2016; 61: 97-109.
    


62. Implementation of an Instantaneous Pathogen Specific Surveillance System
    Lindsay Meyers, Rob Nelson, Frederick Nolte, Virginia Donovan, Jennifer Bard, Gregory Storch, Silvia Spitzer, Hossein Salimnia, Amy Leber, Kristy Lindsey, Kathleen Stellrecht, Rangaraj Selvarangan, J Daly, Paul D Fey, Per Gesteland, Aimie Faucett, Bradley Malin, Christine Ginocchio, and Mark Poritz
    Open Forum Infections Diseases, 2016; 3(Suppl 1): 1363.
    


63. Optimizing Secure Classification Performance with Privacy-Aware Feature Selection
    Erman Pattuk, Murat Kantarcioglu, Huseyin Ulusoy, and Bradley Malin
    Proceedings of the 32nd IEEE International Conference on Data Engineering (ICDE), 2016; 217-228.
    


64. CheapSMC: A Framework to Minimize Secure Multiparty Computation Costs in the Cloud
    Erman Pattuk, Murat Kantarcioglu, Huseyin Ulusoy, and Bradley Malin
    Proceedings of the 30th Annual Conference on Data and Applications Security and Privacy (DBSec), 2016: 285-294.
    Extended Version on Arxiv.org


65. Predicting Negative Events: Using Post-Discharge Data to Detect High-Risk Patients
    Lina Sulieman, Daniel Fabbri, Fei Wang, Jianying Hu, and Bradley Malin
    Proceedings of the 2016 American Medical Informatics Association Annual Fall Symposium, 1169-1178.
    


66. Protecting Genomic Data Analytics in the Cloud: State of the Art and Opportunities
    Haixu Tang, Xiaoqian Jiang, Xiaofeng Wang, Shuang Wang, Heidi Sofia, Dov Fox, Kristin Lauter, Bradley Malin, Amalio Telenti, Li Xiong, Lucila Ohno-Machado
    BMC Medical Genomics, 2016; 9: 63.
    


67. Learning Clinical Workflows to Identify Subgroups of Heart Failure Patients
    Chao Yan, Bo Li, You Chen, David Liebovitz, and Bradley Malin
    Proceedings of the 2016 American Medical Informatics Association Annual Fall Symposium, 2016: 1248-1257.
    


68. #PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information
    Zhijun Yin, You Chen, Jimeng Sun, Daniel Fabbri, and Bradley Malin
    Proceedings of the AAAI Conference on Web and Social Media (ICWSM), 2016; 456-465.
    


69. Building Bridges Across Electronic Health Record Systems Through Inferred Phenotypic Topics
    You Chen, Joydeep Ghosh, Cosmin (Adi) Bejan, Carl Gunter, Siddharth Gupta, Abel Kho, David Liebovitz, Jimeng Sun, Joshua Denny, and Bradley Malin
    Journal of Biomedical Informatics, 2015; 55: 82-93.
    


70. Inferring Clinical Worflow Efficiency via Electronic Medical Record Utilization
    You Chen, Wei Xie, Carl Gunter, David Liebovitz, Sanjay Mehotra, He Zhang, and Bradley Malin
    Proceedings of the 2015 American Medical Informatics Association Annual Fall Symposium, 2015: 416-425.
    


71. Anonymizing and Sharing Individual Patient-Level Data
    Khaled El Emam, Sam Rodgers, and Bradley Malin
    BMJ, 2015; 350: h1139.
    


72. Mining Twitter as a First Step Toward Assessing the Adequacy of Gender Identification on Intake Forms
    Amanda Hicks, William Hogan, Michael Rutherford, Bradley Malin, Mengjun Xie, Christiane Fellbaum, Zhijun Yin, Daniel Fabbri, Josh Hanna, and Jian Bian.
    Proceedings of the 2015 American Medical Informatics Association Annual Symposium, 2015: 611-620.
    


73. Design and Implementation of a Privacy Preserving Electronic Health Record Linkage Tool in Chicago
    Abel Kho, John Cashy, Kathryn Jackson, Adam Pah, Satyender Goel, Jorn Boehnk, John Humphries, Scott Kominers, Bala Hota, Shannon Sims, Bradley Malin, Dustin French, Theresa Walunas, David Meltzer, Erin Kaleba, Roderick Jones, and William Galanter
    Journal of the American Medical Informatics Association, 2015; 22(5): 1072-1080.
    


74. Iterative Classification for Sanitizing Large-Scale Datasets
    Bo Li, Yevgeniy Vorobeychik, Muqun (Rachel) Li, and Bradley Malin
    Proceedings of the 15th IEEE International Conference on Data Mining (ICDM), 2015; 841-846.
    


75. Discovering De Facto Diagnosis Specialities
    Xun Lu, Aston Zhang, Carl A. Gunter, Daniel Fabbri, David Liebovitz, and Bradley Malin
    Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (BCB), 2015; Forthcoming.
    


76. Privacy in the Genomic Era
    Muhammad Naveed, Erman Ayday, Ellen Wright Clayton, Jacques Fellay, Carl Gunter, Jean-Pierre Hubaux, Bradley Malin, and Xiaofeng Wang
    ACM Computing Surveys, 2015; 48(1): 6.
    


77. Privacy-Aware Dynamic Feature Selection
    Erman Pattuk, Murat Kantarcioglu, Huseyin Ulusoy, and Bradley Malin
    Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE), 2015: 78-88.
    


78. R-U Policy Frontiers for Health Data De-identification
    Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, and Bradley Malin
    Journal of the American Medical Informatics Association, 2015: 22(5): 1029-1041.
    


79. Process-Driven Data Privacy
    Weiyi Xia, Zhiyu Wan, Yevgeniy Vorobeychik, Murat Kantarcioglu, Raymond Heatherly, and Bradley Malin
    Proceedings of the 24th ACM Conference on Information and Knowledge Management (CIKM), 2015: 1021-1030.
    


80. A Scalable Framework to Detect Personal Health Mentions in Social Media
    Zhijun Yin, Daniel Fabbri, S. Trent Rosenbloom, and Bradley Malin
    Journal of Medical Internet Research, 2015; 17(6): e138.
    


81. A Game Theoretic Framework for Analyzing Re-identification Risks
    Zhiyu Wan, Yevgeniy Vorobeychik, Weiyi Xia, Ellen Wright Clayton, Murat Kantarcioglu, Ranjit Ganta, Raymond Heatherly, and Bradley Malin
    PLoS One, 2015; 10(3): e0120592.
    Popular Media Articles About this Research: Vanderbilt Research News, Nashville Globe


82. Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics
    Yichen Wang, Robert Chen, Joydeep Ghosh, Joshua Denny, Abel Kho, You Chen, Bradley Malin, and Jimeng Sun
    Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015: 1265-1274.
    


83. We Work with Them? Healthcare Worker's Interpretation of Organizational Relations Mined from Electronic Health Records
    You Chen, Nancy Lorenzi, Steve Nyemba, Jonathan Schildcrout, and Bradley Malin
    International Journal of Medical Informatics, 2014; 83(7): 495-506.
    


84. Composite Bloom Filters for Secure Record Linkage
    Elizabeth Ashley Durham, Murat Kantarcioglu, Yuan Xue, Csaba Toth, Mehmet Kuzu, and Bradley Malin
    IEEE Transactions on Knowledge and Data Engineering, 2014; 26(12): 2956-2968.
    


85. Size Matters: How Population Size Influences Genotype-Phenotype Association Studies in Anonymized Data
    Raymond Heatherly, Josh Denny, Jonathan Haines, Dan Roden, and Bradley Malin
    Journal of Biomedical Informatics, 2014; 52: 243-250.
    


86. Limestone: High-throughput Candidate Phenotype Generation via Tensor Factorization
    Joyce Ho, Joydeep Ghosh, Steven Steinhubl, Walter Stewart, Josh Denny, Bradley Malin, and Jimeng Sun
    Journal of Biomedical Informatics, 2014; 52: 243-250.
    


87. A Community Assessment of Privacy Preserving Techniques for Human Genomes
    Xiaoqian Jiang, Yongan Zhao, Xiaofeng Wang, Bradley Malin, Shuang Wang, Lucila Ohno-Machado, and Haixu Tang
    BMC Medical Informatics and Decision Making, 2014; 14 Suppl 1: S1.
    


88. De-identification of Clinical Narratives through Writing Complexity Measures
    Muqun (Rachel) Li, David Carrell, John Aberdeen, Lynette Hirschman, and Bradley Malin
    International Journal of Medical Informatics, 2014; 83(10): 750-767.
    


89. PARAMO: A Parallel Predictive Modeling Platform for Healthcare Analytic Research using Electronic Health Records
    Kenny Ng, Amol Ghoting, Steven Steinhubl, Walter Stewart, Bradley Malin, and Jimeng Sun
    Journal of Biomedical Informatics, 2014; 48: 160-170.
    


90. Policy Recommendations for Addressing Privacy Challenges Associated with Cell-Based Research and Interventions
    Ubaka Ogbogu, Sarah Burningham, Adam Ollenberger, Kathry Calder, Li Du, Khaled El Emam, Robyn Hyde-Lay, Rosario Isasi, Yann Joly, Ian Kerr, Bradley Malin, Michael McDonald, Steven Penney, Gayle Piat, Denis-Claude Roy, Jeremy Sugarman, Suzanne Vercauteren, Griet Verhennemen, Lori West, and Timothy Caulfield
    BMC Medical Ethics, 2014; 15(1): 7.
    


91. Ensuring Patient Privacy in Data Sharing for Post-Approval Research
    Ameet Sarpatwari, Aaron Kesselheim, Bradley Malin, Joshua Gagne, and Sebastian Schneeweiss
    New England Journal of Medicine, 2014; 371: 1644-1649.
    


92. A Probabilistic Approach to Mitigate Composition Attacks on Privacy in Non-coordinated Environments
    A.H.M. Sarowar Sattar, Jiuyong Li, Jixue Liu, Raymond Heatherly, and Bradley Malin
    Knowledge-Based Systems, 2014; 67: 361-372.
    


93. Predicting Changes in Hypertension Control Using Electronic Health Records from a Chronic Disease Management Program
    Jimeng Sun, Candace McNaughton, Ping Zhang, Adam Perer, Aris Gkoulalas-Divanis, Joshua Denny, Jacqueline Kirby, Thomas Lasko, Alex Saip, and Bradley Malin
    Journal of the American Medical Informatics Association, 2014; 21(2): 337-344.
    


94. SOEMPI: A Secure Open Enterprise Master Patient Index Software Toolkit for Private Record Linkage
    Csaba Toth, Elizabeth Ashley Durham, Murat Kantarcioglu, Yuan Xue, and Bradley Malin
    Proceedings of the 2014 American Medical Informatics Association Annual Symposium, 2014: 1105-1114.
    Award: Homer Warner Award (Best Paper)


95. SecureMA: Protecting Participant Privacy in Genetic Association Meta-Analysis
    Wei Xie, Murat Kantarcioglu, William Bush, Dana Crawford, Josh Denny, Raymond Heatherly, and Bradley Malin
    Bioinformatics, 2014; 30(23): 3334-3341.
    


96. Decide Now or Decide Later? Quantifying the Tradeoff between Prospective and Retrospective Access Decisions
    Wen Zhang, You Chen, Ted Cybulski, Carl A. Gunter, Daniel Fabbri, Patrick Lawlor, David Liebovitz, and Bradley Malin
    Proceedings of the 21st ACM Conference on Computer and Communications Security (CCS), 2014: 1182-1192.
    


97. Reducing Patient Re-identification Risk for Laboratory Results within Research Datasets
    Ravi Atreya, Joshua Smith, Allison McCoy, Bradley Malin, and Randolph Miller
    Journal of the American Medical Informatics Association, 2013; 20(1): 95-101.
    


98. Hiding in Plain Sight: Use of Realistic Surrogates to Reduce Exposure of Protected Health Information in Clinical Text
    David Carrell, Bradley Malin, John Aberdeen, Samuel Bayer, Cheryl Clark, Ben Wellner, and Lynette Hirschman
    Journal of the American Medical Informatics Association, 2013; 20(2): 342-348.
    


99. Requirements and Design for an Extensible Toolkit for Analyzing EMR Audit Logs
    Eric Duffy, Steve Nyemba, Carl Gunter, David Liebovitz, and Bradley Malin
    Proceedings of the 1st USENIX Workshop on Health Information Technologies. 2013.


100. Modeling and Detecting Anomalous Topic Access
     Siddharth Gupta, Casey Hanson, Carl Gunter, Mario Frank, David Liebovitz, and Bradley Malin
     Proceedings of the 11th IEEE International Conference on Intelligence and Security Informatics (ISI). 2013: 100-105.


101. Location Bias of Identifiers in Clinical Narratives
     David Hanauer, Kai Zheng, Bradley Malin, and Qiaozhu Mei
     Proceedings of the 2013 American Medical Informatics Association Annual Symposium, 2013: 560-569.
     


102. Ethical, Legal, and Social Implications of Incorporating Genetic Information into Electronic Health Records
     Ribhi Hazin, Kyle Brothers, Bradley Malin, Barbara Koenig, Saskia Sanderson, Mark Rothstein, Marc Williams, Ellen Wright Clayton, and Iftikhar Kullo
     Genetics in Medicine. 2013; 15: 810-816
     


103. Enabling Genomic-Phenomic Association Discovery Without Sacrificing Anonymity
     Raymond Heatherly, Grigorios Loukides, Joshua Denny, Jonathan Haines, Dan Roden, and Bradley Malin
     PLoS One, 2013; 8(2): e53875.
     


104. A Practical Approach to Achieve Private Medical Record Linkage in Light of Public Resources
     Mehmet Kuzu, Murat Kantarcioglu, Elizabeth Ashley Durham, Csaba Toth, and Bradley Malin
     Journal of the American Medical Informatics Association, 2013; 20(2): 285-292.
     


105. Efficient Privacy-Aware Record Integration
     Mehmet Kuzu, Murat Kantarcioglu, Ali Inan, Elisa Bertino, Elizabeth Ashley Durham, and Bradley Malin
     Proceedings of the 16th International Conference on Extending Database Technology (EDBT); 2013: 167-178.
     


106. State of the Art in Clinical Informatics: Evidence and Examples
     Allison McCoy, Adam Wright, Gunther Eysenbach, Bradley Malin, Emily Patterson, Hua Xu, and Dean Sittig
     Yearbook of Medical Informatics, 2013; 8(1): 13-19.
     


107. Studying Patients Who Opt Out of Large-Scale Biorepository Research
     S. Trent Rosenbloom, Jennifer Madison, Kyle Brothers, Erica Bowton, Ellen Wright Clayton, Bradley Malin, Dan Roden, and Jill Pulley
     Journal of the American Medical Informatics Association, 2013; 20(e2): e221-e225.
     


108. Efficient Discovery of De-identification Policies Through a Risk-Utility Frontier
     Weiyi Xia, Raymond Heatherly, Xiaofeng Ding, Jiuyong Li, and Bradley Malin
     Proceedings of the 3rd ACM Conference on Data and Application Privacy and Security (CODASPY); 2013: 59-70.
     


109. Scalable and Robust Key Group Size Estimation for Reducer Load Balancing in MapReduce
     Wei Yan, Yuan Xue, and Bradley Malin
     Proceedings of the 1st IEEE International Conference on Big Data, 2013: 156-162.
     


110. Scalable Load Balancing for MapReduce-based Record Linkage
     Wei Yan, Yuan Xue, and Bradley Malin
     Proceedings of the 32nd IEEE International Performance Computing and Communications Conference, 2013: Forthcoming.
     


111. Mining Deviations from Patient Care Pathways via Electronic Medical Record System Audits
     He Zhang, Sanjay Mehotra, David Liebovitz, Carl Gunter, and Bradley Malin
     ACM Transactions on Management Information Systems, 2013; 4(4): 17.
     


112. Evolving Role Definitions Through Permission Invocation Patterns
     Wen Zhang, You Chen, Carl Gunter, David Liebovitz, and Bradley Malin
     Proceedings of the 18th ACM Symposium on Access Control Models and Technologies (SACMAT); 2013: 37-48.
     Award: Honorable Mention, Best Paper Award.
     


113. Secure Management of Biomedical Data with Cryptographic Hardware
     Mustafa Canim, Murat Kantarcioglu, and Bradley Malin
     IEEE Transactions on Information Technology in Biomedicine, 2012; 16(1): 166-175.
     


114. Detecting Anomalous Insiders in Collaborative Information Systems
     You Chen, Steve Nyemba, and Bradley Malin
     IEEE Transactions on Dependable and Secure Computing, 2012; 9(3): 332-344.
     


115. Auditing Medical Record Accesses via Healthcare Interaction Networks
     You Chen, Steve Nyemba, and Bradley Malin
     Proceedings of the 2012 American Medical Informatics Association Annual Symposium, 2012: 93-102.
     


116. Specializing Network Analysis to Detect Anomalous Insider Actions
     You Chen, Steve Nyemba, Wen Zhang, and Bradley Malin
     Security Informatics, 2012; 1: 5.
     


117. Quantifying the Correctness, Computational Complexity, and Security of Privacy-Preserving String Comparators for Record Linkage
     Elizabeth Ashley Durham, Yuan Xue, Murat Kantarcioglu, and Bradley Malin
     Information Fusion, 2012; 13(4): 245-259.
     


118. Detecting Anomalous User Behaviors in Workflow-Driven Web Applications
     Xiaowei Li, Yuan Xue, and Bradley Malin
     Proceedings of the 31st International Symposium on Reliable Distributed Systems (SRDS), 2012: 1-10.
     


119. Anonymization of Longitudinal Electronic Medical Records
     Acar Tamersoy, Grigorios Loukides, Mehmet Ercan Nergiz, Yucel Saygin, and Bradley Malin
     IEEE Transactions on Information Technology in Biomedicine, 2012; 16(3): 413-423.
     


120. An Entropy Approach to Disclosure Risk Assessment: Lessons from Real Applications and Simulated Domains
     Edoardo Airoldi, Xue Bai, and Bradley Malin
     Decision Support Systems, 2011; 51: 10-20.
     


121. Detection of Anomalous Insiders in Collaborative Environments via Relational Analysis of Access Logs
     You Chen and Bradley Malin
     Proceedings of the 1st ACM Conference on Data and Application Security and Privacy (CODASPY), 2011: 63-74.
     


122. Leveraging Social Networks to Detect Anomalous Insider Actions in Collaborative Environments
     You Chen, Steve Nyemba, Wen Zhang, and Bradley Malin
     Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI), 2011: 119-124.
     


123. A Secure Protocol for Protecting the Identity of Providers When Disclosing Data for Disease Surveillance
     Khaled El Emam, Jun Hu, Jay Mercer, Liam Peyton, Murat Kantarcioglu, Bradley Malin, David Buckeridge, Saeed Samet, and Craig Earle
     Journal of the American Medical Informatics Association, 2011: 18(3): 212-217.
     


124. A Systematic Review of Re-identification Attacks on Health Data
     Khaled El Emam, Elizabeth Jonker, Luk Arbuckle, and Bradley Malin
     PLoS One, 2011; 6: e28071.
     


125. Experience-Based Access Management: A Lifecycle Framework to Evolve Identity and Access Management Systems
     Carl Gunter, David Liebovitz, and Bradley Malin
     IEEE Security and Privacy Magazine, 2011; 9: 48-55.
     


126. A Constraint Satisfaction Cryptanalysis of Bloom Filters in Private Record Linkage
     Mehmet Kuzu, Murat Kantarcioglu, Elizabeth Ashley Durham, and Bradley Malin
     Lecture Notes in Computer Science: Proceedings of the 11th Privacy Enhancing Technologies Symposium (PETS), vol. 6794, 2011: 226-245.
     


127. Towards Understanding the Usage Pattern of Web-based Electronic Medical Record Systems
     Xiaowei Li, Yuan Xue, and Bradley Malin
     Proceedings of the IEEE International Workshop on Interdisciplinary Research on E-Health Services and Systems, 2011: 1-7.
     


128. COAT: Constraint-based Anonymization of Transactions
     Grigorios Loukides, Aris Gkoulalas-Divanis, and Bradley Malin
     Knowledge and Information Systems, 2011; 28: 251-282.
     


129. Never Too Old for Anonymity: A Statistical Standard for Demographic Data Sharing via the HIPAA Privacy Rule
     Bradley Malin, Kathleen Benitez, and Daniel Masys
     Journal of the American Medical Informatics Association, 2011: 18(1): 3-10.
     


130. Identifiability in Biobanks: Models, Measures, and Mitigation Strategies
     Bradley Malin, Grigorios Loukides, Kathleen Benitez, and Ellen Wright Clayton
     Human Genetics, 2011; 130: 383-392.
     


131. Learning Relational Policies from Electronic Health Record Access Logs
     Bradley Malin, Steve Nyemba, and John Paulett
     Journal of Biomedical Informatics, 2011; 44: 333-342.
     


132. Role Prediction using Electronic Medical Record System Audits
     Wen Zhang, Carl Gunter, David Liebovitz, Jian Tian, and Bradley Malin
     Proceedings of the 2011 American Medical Informatics Association Annual Symposium, 2011: 858-867.
     


133. The MITRE Identification Scrubber Toolkit: Design, Training, and Assessment
     John Aberdeen, Sam Bayer, Reyyan Yeniterzi, Ben Wellner, Cheryl Clark, David Hanauer, Bradley Malin, and Lynette Hirschman
     International Journal of Medical Informatics, 2010: 79: 849-859.
     


134. Evaluating Re-identification Risks with Respect to the HIPAA Privacy Rule
     Kathleen Benitez and Bradley Malin
     Journal of the American Medical Informatics Association, 2010; 17(2): 169-177.
     


135. Beyond Safe Harbor: Automatic Discovery of Health Information De-identification Policy Alternatives
     Kathleen Benitez, Grigorios Loukides, and Bradley Malin
     Proceedings of the ACM International Health Informatics Symposium (IHI), 2010: 163-172.
     


136. Private Medical Record Linkage with Approximate Matching
     Elizabeth Ashley Durham, Yuan Xue, Murat Kantarcioglu, and Bradley Malin
     Proceedings of the 2010 American Medical Informatics Association Annual Symposium, 2010: 182-186.
     Award: 1st Place, Student Paper Competition
     


137. Privacy-Preserving Publication of Diagnosis Codes for Effective Biomedical Analysis
     Grigorios Loukides, Aris Gkoulalas-Divanis, and Bradley Malin
     Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 2010: 1-6.
     


138. The Disclosure of Diagnosis Codes Can Breach Research Participants' Privacy
     Grigorios Loukides, Josh Denny, and Bradley Malin
     Journal of the American Medical Informatics Association, 2010; 17(3): 322-327.
     (This is the extended version of our AMIA 2009 paper.)
     


139. Anonymization of Electronic Medical Records for Validating Genome-Wide Association Studies
     Grigorios Loukides, Aris Gkoulalas-Divanis, and Bradley Malin
     Proceedings of the National Academy of Sciences, 2010; 107: 7898-7903.
     Popular Media Articles About this Research: ComputerWeekly, GenomeWeb, Nature News, Science News, Scientific American, Technology Review, The Register, Wired, ZDNet
     


140. Secure Construction of k-unlinkable Patient Records from Distributed Providers
     Bradley Malin
     Artificial Intelligence in Medicine, 2010; 48(1): 29-41.
     


141. Technical and Policy Approaches to Balancing Patient Privacy and Data Sharing in Clinical and Translational Research
     Bradley Malin, David Karp, and Richard Scheuermann
     Journal of Investigative Medicine, 2010; 58(1): 11-18.
     


142. Anonymization of Administrative Billing Codes with Repeated Diagnoses Through Censoring
     Acar Tamersoy, Grigorios Loukides, Josh Denny, and Bradley Malin
     Proceedings of the 2010 American Medical Informatics Association Annual Symposium, 2010: 782-786.
     


143. Effects of Personal Identifier Resynthesis on Clinical Text De-identification
     Reyyan Yeniterzi, John Aberdeen, Sam Bayer, Ben Wellner, Lynette Hirschman, and Bradley Malin
     Journal of the American Medical Informatics Association, 2010; 17(2): 159-168.


144. Formal Anonymity Models for Efficient Privacy-Preserving Joins
     Murat Kantarcioglu, Ali Inan, Wei Jiang, and Bradley Malin
     Data and Knowledge Engineering, 2009; 68(11): 1206-1223.
     


145. Ethical and Practical Issues Associated with Aggregating Databases
     David Karp, Sheryl Carlin, Robert Cook-Deegan, Daniel Ford, Gail Geller, David Glass, Henry Greely, Joel Guthridge, Jeffrey Kahn, Richard Kaslow, Cheryl Kraft, Kathleen MacQueen, Bradley Malin, Richard Scheuermann, and Jeremy Sugarman
     PLoS Medicine, 2008; 5(9): e190.
     


146. A Cryptographic Approach to Securely Share and Query Genomic Sequences
     Murat Kantarcioglu, Wei Jiang, Ying Liu, and Bradley Malin
     IEEE Transactions on Information Technology in Biomedicine, 2008; 12(5): 606-617.
     


147. A Privacy Preserving Framework for Integrating Person-Specific Databases
     Murat Kantarcioglu, Wei Jiang, and Bradley Malin
     Lecture Notes in Computer Science: Proceedings of the 2008 Conference on Privacy in Statistical Databases, vol. 5262, Istanbul, Turkey. 2008: 298-314.
     


148. Do Clinical Profiles Constitute Privacy Risks for Research Participants?
     Grigorios Loukides, Josh Denny, and Bradley Malin
     Proceedings of the 2009 American Medical Informatics Association Annual Symposium, San Francisco, CA. 2009.
     Award: Distinguished Paper Award.
     


149. K-Unlinkability: A Privacy Protection Model for Distributed Data
     Bradley Malin
     Data and Knowledge Engineering, 2008; 64(1): 294-311.
     


150. Model-Based Design of Clinical Information Systems
     Janos Mathe, Jan Werner, Yonghwan Lee, Bradley Malin, and Akos Ledeczi
     Methods of Information in Medicine, 2008; 47(5): 399-408.
     


151. Integration of Clinical Workflows with Privacy Policies on a Common Semantic Platform
     Jan Werner, Bradley Malin, Yonghwan Lee, Akos Ledeczi, and Janos Sztipanovits
     Proceedings of the 2nd ACM/IEEE International Workshop on Model-Based Trustworthy Health Information Systems, in conjunction with the 11th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, Toulouse, France. 2008.
     


152. A Modeling Environment for Patient Portals
     Sean Duncavage, Janos Mathe, Jan Werner, Bradley Malin, Akos Ledeczi, and Janos Sztipanovits
     Proceedings of the 2007 American Medical Informatics Association Annual Symposium, Chicago, IL. 2007: 201-206.
     


153. A Computational Model to Protect Patient Data from Location-Based Re-identification
     Bradley Malin
     Artificial Intelligence in Medicine, 2007; 40(3): 223-239.
     


154. Confidentiality Preserving Audits of Electronic Medical Record Access
     Bradley Malin and Edoardo Airoldi
     Proceedings of the 12th World Congress on Health (Medical) Informatics - Medinfo 2007, Brisbane, Australia. IOS Press. 2007; 127: 320-324.
     


155. A Longitudinal Social Network Analysis of the Editorial Boards of Medical Informatics and Bioinformatics Journals
     Bradley Malin and Kathleen Carley
     Journal of the American Medical Informatics Association, 2007; 14(3): 340-348.
     


156. Towards the Security and Privacy Analysis of Patient Portals
     Janos Mathe, Sean Duncavage, Jan Werner, Bradley Malin, Akos Ledeczi, and Janos Sztipanovits
     ACM SIGBED Review, 2007; 4(2): 5-9.
     


157. Implementing a Model-Based Design Environment for Clinical Information Systems
     Janos Mathe, Sean Duncavage, Jan Werner, Bradley Malin, Akos Ledeczi, and Janos Sztipanovits
     Proceedings of the 1st ACM/IEEE International Workshop on Model-Based Trustworthy Health Information Systems, in conjunction with the 10th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, Nashville, TN. 2007.
     


158. Platform-based Design for Clinical Information Systems
     Jan Werner, Janos Mathe, Sean Duncavage, Bradley Malin, Akos Ledeczi, Jim Jirjis, and Janos Sztipanovits.
     Proceedings of the 5th IEEE International Conference on Industrial Informatics (INDIN), Vienna, Austria. 2007; 2: 749-755.
     


159. Re-identification of Familial Database Records
     Bradley Malin
     Proceedings of the 2006 American Medical Informatics Association Annual Symposium, Washington, DC. 2006: 524-528.
     Award: Distinguished Paper Award Nominee
     


160. The Effects of Location Access Behavior on Re-identification Risk in a Distributed Environment
     Bradley Malin and Edoardo Airoldi
     Lecture Notes in Computer Science: Proceedings of the 6th Privacy Enhancing Technologies (PET), Revised Selected Papers, vol. 4258, 2006: 413-429.
     


161. Technologies to Defeat Fraudulent Schemes Related to Email Requests
     Edoardo Airoldi, Bradley Malin, and Latanya Sweeney
     Proceedings of the 2005 AAAI Spring Symposium on AI Technologies for Homeland Security. Palo Alto, CA. 2005.
     


162. Integrating Utility into Face De-identification
     Ralph Gross, Edoardo Airoldi, Bradley Malin, and Latanya Sweeney
     Lecture Notes in Computer Science: Proceedings of the 5th Privacy Enhancing Technologies (PET), Revised Selected Papers, vol. 3856. 2005: 227-252.
     


163. Email Alias Detection Using Social Network Analysis
     Ralf Holzer, Bradley Malin, and Latanya Sweeney
     Proceedings of the ACM Workshop on Link Discovery: Issues, Approaches, and Applications (Link-KDD), held in conjunction with the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Chicago, IL. 2005: 52-57.
     


164. Betrayed By My Shadow: Learning Data Identity via Trail Matching (cached copy at CiteSeer)
     Bradley Malin
     Journal of Privacy Technology, 2005; 20050609001.
     


165. Protecting Genomic Sequence Anonymity with Generalization Lattices
     Bradley Malin
     Methods of Information in Medicine, 2005; 44(5): 687-692.
     


166. An Evaluation of the Current State of Genomic Data Privacy Protection Technology and a Roadmap for the Future
     Bradley Malin
     Journal of the American Medical Informatics Association, 2005; 12(1): 28-34.
     


167. Unsupervised Name Disambiguation via Social Network Similarity
     Bradley Malin
     Proceedings of the SIAM Workshop on Link Analysis, Counterterrorism, and Security, held in conjunction with the 2005 SIAM International Conference on Data Mining. Newport Beach, CA. 2005: 93-102.
     


168. A Network Analysis Model for Disambiguation of Names in Lists
     Bradley Malin, Edoardo Airoldi, and Kathleen Carley
     Computational and Mathematical Organization Theory, 2005; 11(2): 119-139.
     


169. Configurable Security Protocols for Multi-party Data Analysis with Malicious Participants
     Bradley Malin, Edoardo Airoldi, Samuel Edoho-Eket, and Yiheng Li
     Proceedings of the 21st IEEE International Conference on Data Engineering. Tokyo, Japan. 2005: 533-544.
     


170. Composition and Disclosure of Unlinkable Distributed Databases
     Bradley Malin and Latanya Sweeney
     Proceedings of the 22nd IEEE International Conference on Data Engineering (ICDE), Atlanta, Georgia, 2006: 118.
     


171. A Secure Protocol to Distribute Unlinkable Health Data
     Bradley Malin and Latanya Sweeney
     Proceedings of the 2005 American Medical Informatics Association Annual Symposium, Washington, DC, 2005: 485-489.
     Award: Student Paper Competition Finalist.
     


172. Preserving Privacy by De-identifying Facial Images
     Elaine Newton, Latanya Sweeney, and Bradley Malin
     IEEE Transactions on Knowledge and Data Engineering, 2005; 17(2): 232-243.
     


173. Data Mining Challenges for Electronic Safety: The Case of Fraudulent Intent Detection in E-mails
     Edoardo Airoldi and Bradley Malin
     Proceedings of the Workshop on Privacy and Security Aspects of Data Mining, held in conjunction with the IEEE International Conference on Data Mining. Brighton, England, 2004: 57-66.
     


174. How (Not) to Protect Genomic Data Privacy in a Distributed Network: Using Trail Re-identification to Evaluate and Design Anonymity Protection Systems
     Bradley Malin and Latanya Sweeney
     Journal of Biomedical Informatics. 2004; 37(3): 179-192.
     Award: Republished in 2006 IMIA Yearbook of Medical Informatics.
     


175. Data and Collocation Surveillance Through Location Access Patterns
     Bradley Malin
     Proceedings of the 2004 North American Association for Computational Social and Organizational Science Conference. Pittsburgh, PA. 2004.
     


176. Correlating Web Usage of Health Information with Patient Medical Data
     Bradley Malin
     Proceedings of the 2002 American Medical Informatics Association Annual Symposium. San Antonio, TX. 2002: 484-488.
     


177. Inferring Genotype from Clinical Phenotype Through a Knowledge-based Algorithm
     Bradley Malin and Latanya Sweeney
     Proceedings of the 2002 Pacific Symposium on Biocomputing. Lihue, HI. 2002: 41-52.
     


178. Re-identification of DNA Through an Automated Linkage Process
     Bradley Malin and Latanya Sweeney
     Proceedings of the 2001 American Medical Informatics Association Annual Symposium. Washington, DC. 2001: 423-427.
     Award: Student Paper Competition Finalist.
     


179. Determining the Identifiability of DNA Database Entries
     Bradley Malin and Latanya Sweeney
     Proceedings of the 2000 American Medical Informatics Association Annual Symposium. Washington, DC. 2000: 547 - 551.
     Award: Student Paper Competition Finalist.
     

Editorials

180. GenoPri'16: International Workshop on Genome Privacy and Security
     Erman Ayday, Xiaoqian Jiang, and Bradley Malin
     ACM/IEEE Transactions on Computational Biology and Bioinformatics, 2018; 15(5): 1403-1404.
     


181. Between Access and Privacy: Challenges in Sharing Health Data
     Bradley Malin and Kenneth Goodman
     Yearbook of Medical Informatics, 2018: 27(1): 55-59.
     


182. Genomic Data Privacy and Security: Where We Stand and Where We are Heading
     Jean-Pierre Hubaux, Stefan Katzenbeisser, and Bradley Malin
     IEEE Security & Privacy Magazine, 2017: 15(5): 10-12.
     


183. Biomedical Data Privacy: Problems, Perspectives, and Recent Advances
     Bradley Malin, Khaled El Emam, and Christine O'Keefe
     Journal of the American Medical Informatics Association, 2013: 20(1): 2-6.
     


184. PinKDD'08: Privacy, Security, and Trust in KDD Post-Workshop Report
     Francesco Bonchi, Elena Ferrari, Wei Jiang, and Bradley Malin
     ACM SIGKDD Explorations, 2008: 10(2): 66-68.
     


185. Recent Advances in Preserving Privacy While Mining Data
     Francesco Bonchi, Bradley Malin, and Yucel Saygin
     Data and Knowledge Engineering, 2008: 65(1):1-4.
     


186. First International Workshop on the Model-Based Design of Trustworthy Health Information Systems
     Akos Ledeczi, Ruth Breu, Bradley Malin, and Janos Sztipanovits
     Lecture Notes in Computer Science: Workshops and Symposia at MoDELS 2007, vol. 5002, 2008: 115-117.
     


187. PinKDD'07: Privacy, Security, and Trust in KDD Post-Workshop Report
     Francesco Bonchi, Elena Ferrari, Bradley Malin, and Yucel Saygin
     ACM SIGKDD Explorations, 2007: 9(2): 93-95.
     

Letters to the Editor

188. Risks of Compulsory Genetic Database - Response
     James Hazel, Ellen Wright Clayton, Bradley Malin, and Chris Slobogin
     Science, 2019; 363(6430): 940.


189. The Need for Better Data Breach Statistics
     Daniel Fabbri, Mark Frisse, and Bradley Malin
     JAMA Internal Medicine, 2017; 177(11): 1696.


190. Benefits and Risks of Machine Learning Decision Support Systems
     Thomas Lasko, Colin Walsh, and Bradley Malin
     JAMA, 2017; 318(23): 2355.


191. Assessing Data Intrusion Threats
     Dan Barth-Jones, Khaled El Emam, Jane Bambauer, Ann Cavoukian, and Bradley Malin
     Science, 2015; 348(6231): 194-195.


192. Data re-identification: societal safeguards
     Russ Altman, Ellen Wright Clayton, Isaac Kohane, Bradley Malin, and Dan Roden
     Science, 2013; 339(6123): 1032-1033.

Notable Portions of National Academy Reports (not due to Committee Membership)

193. Concepts and Methods for De-identifying Clinical Trials (Appendix B)
     Khaled El Emam and Bradley Malin
     Sharing Clinical Trials Data: Maximizing Benefits, Minimizing Risk, Committee on Strategies for Responsible Sharing of Clinical Trial Data; Board on Health Sciences Policy; Institute of Medicine. Washington (DC): National Academies Press. 2015.

Federal Guidance

194. Guidance Regarding Methods for De-identification of PHI in Accordance with HIPAA
     Office for Civil Rights, U.S. Department of Health and Human Services, November 2012.
     

• Instructor - Data Privacy in Biomedicine (VUMC BMIF-380 / VU CS-396); Spring 2008 - 2019
• Guest Instructor - TRUST WISE Institute; Summer 2009 - 2011, 2013, 2015
• Team Instructor - Methodological Foundations of Biomedical Informatics (VUMC BMIF-315); Spring 2007 - 2019
• Team Instructor - Foundations of Biomedical Informatics (VUMC BMIF-300); Fall 2006 - 2018
• Instructor - Key Technologies and Trends, a course in the Carnegie Mellon University Chief Security Officer Executive Certificate Program; Spring 2005
• Teaching Assistant - Citizenship in a Cybervillage: Rights and Responsibilities in the Digital Age (CMU 17-396); Spring 2004
• Guest Lecturer / Teaching Assistant - Data Privacy and Anonymity (CMU 15-394, 10-711, 17-802); Fall 2002, Fall 2003
• Head Teaching Assistant - Introduction/Intermediate Programming (CMU 15-100z, 90-792/793, 95-712/713); Summer 2001 – Fall 2002
• Teaching Assistant - Virology (CMU 03-380). Fall 1999

Post-Doctoral Fellows

• You Chen, Ph.D.
  • My Role: Primary Research Advisor
  • Now an Assistant Professor at Vanderbilt University


• Aris Gkoulalas-Divanis, Ph.D.
  • My Role: Primary Research Advisor
  • Now a research staff member of IBM Research


• Raymond Heatherly, Ph.D.
  • My Role: Primary Research Advisor
  • Now a Senior Manager of Decision Optimization (Data Science) at Sedgwick Claims Management, Inc


• Grigorios Loukides, Ph.D.
  • My Role: Primary Research Advisor
  • Now an Assistant Professor at Kings College London


• Weiyi Xia, Ph.D.
  • My Role: Primary Research Advisor

PhD Advising

• Rhonda Baldwin, Ph.D. [Computer Science, Simon Fraser University, 2010]
  • My Role: External Dissertation Examiner
  • Dissertation Title: On the Utility Of Randomization Approaches For Privacy Preserving Data Publishing
  • Now a Privacy Engineering Project Manager at Apple


• Liang Dai, Ph.D. [Computer Science, Vanderbilt University, 2011]
  • My Role: Dissertation Committee Member
  • Dissertation Title: Optimizing Traffic Distribution in Multi-Radio Multi-Channel Wireless Mesh Networks Under Dynamic Traffic Demand
  • Now a Senior Software Engineer at Ebay


• Elizabeth Ashley Durham, Ph.D. [Biomedical Informatics, Vanderbilt University, 2012]
  • My Role: Dissertation Committee Chair
  • Dissertation: A Framework for Accurate, Efficient Private Record Linkage
  • Now an Associate Program Officer at the Bill & Melinda Gates Foundation


• Bo Li, Ph.D. [Computer Science, Vanderbilt University, 2016]
  • My Role: Dissertation Committee Member
  • Dissertation: Secure Learning in Adversarial Environments
  • Now an Assistant Professor at University of Illinois at Urbana-Champaign


• Muqun (Rachel) Li, Ph.D. [Computer Science, Vanderbilt University, 2018]
  • My Role: Dissertation Chair
  • Dissertation: Scalable Natural Language De-identification Based on Machine Learning Approaches
  • Now a Data Scientist at Privacy Analytics, Inc


• Xiaowei Li, Ph.D. [Computer Science, Vanderbilt University, 2013]
  • My Role: Dissertation Committee Member
  • Dissertation: Detection and Prevention of Logic Attacks Against Web Applications Through Black-Box Analysis
  • Now a software engineer at Google


• Janos Mathe, Ph.D. [Computer Science, Vanderbilt University, 2012]
  • My Role: Dissertation Committee Member
  • Dissertation: The Precise Construction of Patient Protocols: Modeling, Simulation, and Analysis of Computer Interpretable Guidelines
  • Now a Health Knowledge Architect at the Vanderbilt University Medical Center


• Trey Reece, Ph.D. [Electrical Engineering, Vanderbilt University, 2014]
  • My Role: Dissertation Committee Member
  • Dissertation: Assessing and Detecting Malicious Hardware in Integrated Circuits


• Zeeshan Samad [Economics, Vanderbilt University, in progress]
  • My Role: Dissertation Committee Member
  • Dissertation Proposal: TBD


• Lina Sulieman, Ph.D. [Biomedical Informatics, Vanderbilt University, 2018]
  • My Role: Dissertation Committee Member
  • Dissertation: Finding Semantics Within Clinical Data: What Lies Within Structured and Unstructured Data
  • Now a Post-Doctoral Research Fellow at Vanderbilt University Medical Center


• Ashish Tapdiya, Ph.D. [Computer Science, Vanderbilt University, 2018]
  • My Role: Dissertation Committee Member
  • Dissertation: Large Scale Data Management For Enterprise Workloads


• Wei Xie, Ph.D. [Computer Science, Vanderbilt University, 2018]
  • My Role: Dissertation Chair
  • Dissertation: Privacy Leaks and Efficient Countermeasures for Human Genetics and Machine Learning
  • Now working at a startup in stealth mode


• Weiyi Xia, Ph.D. [Computer Science, Vanderbilt University, 2016]
  • My Role: Dissertation Chair
  • Dissertation: Optimizing the Privacy Risk-Utility Framework in Data Publication
  • Now a National Library of Medicine Post-Doctoral Fellow at the Department of Biomedical Informatics, Vanderbilt University


• Wei Yan, Ph.D. [Computer Science, Vanderbilt University, 2015]
  • My Role: Dissertation Committee Member
  • Dissertation: A Data-Driven Approach to Optimal Resource Management for Large-Scale Data Processing Platforms
  • Now a Software Engineer at Ant Financial


• Cheng Ye [Computer Science, Vanderbilt University, in progress]
  • My Role: Dissertation Committee Member
  • Dissertation Proposal: A Framework for Crowdsourcing Medical Data Sets


• Zhiyu Wan [Computer Science, Vanderbilt University, in progress]
  • My Role: Primary Research Advisor


• Zhijun Yin, Ph.D. [Computer Science, Vanderbilt University, 2018]
  • My Role: Dissertation Chair
  • Dissertation Proposal: Automated Learning of Health Behaviors Through Consumer Authored Natural Language Text
  • Now an Assistant PRofessor of Biomedical Informatics at Vanderbilt University


• Haifeng Zhang, Ph.D. [Computer Science, Vanderbilt University, 2017]
  • My Role: Dissertation Committee Member
  • Dissertation: Algorithmic Marketing with Data-Driven Simulation
  • Now a Post-Doctoral Fellow at Carnegie Mellon University


• Wen Zhang, Ph.D. [Computer Science, Vanderbilt University, 2015]
  • My Role: Dissertation Chair
  • Dissertation: Learning from Access Log to Mitigate Insider Threats
  • Now a Data Scientist at Morgan Stanley

MS Advising

• Jejo Koola, M.D., M.S. [Biomedical Informatics, Vanderbilt University, 2016]
  
  • My Role: Thesis Committee Member
  • Thesis Title: Integrating Analytics and Data Visualization for Risk Prediction
  • Now an Assistant Professor at University of California at San Diego


• Jessica Ruff, M.D., M.A., M.P.H. [Public Health, Meharry Medical College, 2017]
  
  • My Role: Thesis Committee Member
  • Thesis Title: Organizational Network Analysis as a Method for Developing and Supporting a Public Health Informatics Community of Practice


• John Paulett [Biomedical Informatics, Vanderbilt University, 2009]
  
  • My Role: Thesis Committee Chair
  • Thesis Title: A Framework for the Automatic Discovery of Policy from Healthcare Access Logs
  • Now the lead software developer at an health IT start-up


• Lina Sulieman [Biomedical Informatics, Vanderbilt University, 2014]
  • Thesis Title: A Process Mining Approach to Learn Ischemic Stroke Treatment Patterns from Electronic Medical Records
  • My Role: Thesis Committee Chair
  • Now a Ph.D. student in biomedical informatics at Vanderbilt University


• Acar Tamersoy, Ph.D. [Biomedical Informatics, Vanderbilt University, 2011]
  • My Role: Thesis Committee Chair
  • Thesis Title: Anonymization of Longitudinal Electronic Medical Records for Clinical Research
  • Went on to Ph.D. at Georgia Tech, now a Research Scientest at Symantec Research Labs


• Reyyan Yeniterzi [visiting student from Sabanci University; 2008]
  
  • My Role: Research Project Advisor
  • Now an Assistant Professor at Ozeygin University


• Weijie Yu [Computer Science, Vanderbilt University; 2015]
  
  • My Role: Thesis Committee Chair
  • Thesis Title: A Model-Based Environment for Garbled Circuits

Undergraduate Advising

• Rueben Banalagay [Biomedical & Electrical Engineering, Vanderbilt University, 2010]
  • My Role: Summer Research Internship Supervisor (NLM sponsored)
  • Now a Ph.D. student in Electrical Engineering at Vanderbilt University


• Yuhao Chen [Electrical Engineering, Vanderbilt University, 2016]
  • My Role: Summer Research Internship Supervisor
  • Now a software engineer at Microsoft


• Ezra Chu [Psychology, Vanderbilt University, 2012]
  • My Role: Summer Research Internship Supervisor (NLM sponsored)


• Alec Coston [Biomedical & Computer Engineering, Vanderbilt University, 2011]
  • My Role: Summer Research Internship Supervisor (NLM sponsored)


• Charles Keil [Biology, Vanderbilt University, 2009]
  • My Role: Summer Research Internship Supervisor (NLM sponsored)
  • Now a software engineer at Vanderbilt University Medical Center


• Thomas Li [Computer Science, Duke University, 2009]
  • My Role: Summer Research Internship Supervisor (NLM sponsored)
  • Now an undergraduate at Duke University


• Mostafa Shamsuddin [Electrical Engineering, Tennessee State University, 2011]
  • My Role: Summer Research Internship Supervisor (NLM sponsored)


• Adarsh Subbaswamy [Computer Science, Vanderbilt University, 2015-2016]
  • My Role: Independent Study Supervisor
  • Now a Ph.D. student in Computer Science at Johns Hopkins University


• Jian Tian [Computer Science, Vanderbilt University, 2011]
  • My Role: Independent Study Supervisor
  • Now a software engineer at CGI Inc.


• Michelle Tin [Psychology & Statistics, Notre Dame University, 2013]
  • My Role: Summer Research Internship Supervisor (NLM Sponsored)


• Stanley Xiang [Computer Science, Vanderbilt University, 2016-present]
  • My Role: Summer Research Internship Supervisor (NLM Sponsored)

Pre-Undergraduate Advising

• Eli Gadd [Brentwood High School, 2010, 2011]
  • My Role: Summer Research Internship Supervisor
  • Now a Software Engineer at Google (after an undergraduate at Harvey Mudd College)

Testimony

• Testimony on Learning Statistics Securely from Administrative to DNA Records: Are We There Yet?
  U.S. Commission on Evidence-Based Policy Making (2/2017)
  


• Testimony on De-identification and HIPAA: What's Working, What's Not, and Where are We Going?
  Subcommittee on Privacy, Confidentiality, & Security, U.S. National Committee for Vital and Health Statistics (5/2016)
  


• Testimony on Governance Models for Collection, Use, and Dissemination of Community Health Data
  (on behalf of the Electronic Medical Records and Genomics Network)
  U.S. National Committee for Vital and Health Statistics (4/2012)
  


• Testimony on Repurposing Clinical Data for Cancer Research With Formal Privacy Protections
  President's Cancer Panel, U.S. Dept. of Health & Human Services (12/2010)
  


• Testimony on Electronic Medical Record Linkage Challenges and Opportunities
  (on behalf of the American Medical Informatics Association)
  Privacy & Security Tiger Team, U.S. Office of the National Coordinator for Health IT, U.S. Dept. of Health & Human Services (12/2010)
  


• Testimony on Emerging Privacy Issues Associated with Personalized Healthcare Research
  AHIC Confidentiality, Privacy, & Security Workgroup, U.S. Department of Health and Human Services (6/2007)

Invited Seminars and Talks

• Biomedical Data Privacy Doesn't Have to Die (But it Might)
  School of Biomedical Informatics, University of Texas Health Sciences Center, Houston, TX (3/2019)
  


• Supporting Investigations into Health with De-identified Data
  Institute of Information Science, Academia Sinica, Taipei, Taiwan (12/2018)
  


• De-identification Models and Methods Across Different Jurisdictions
  Institutum Iurisprudentiae, Academia Sinica, Taipei, Taiwan (12/2018)
  


• Building Bridges Between Technical Data Privacy Capabilities and Legal Requirements
  Munich Digital Health Summit, Munich, Germany (11/2018)
  


• Data Sharing (Dis)incentives
  National Academies Committee on Science, Engineering, Medicine, and Public Policy (11/2018)
  


• Data Privacy in Big(ger) Biomedical Databases
  National Heart, Lung, and Blood Insitute, National Institutes of Health (7/2018)
  


• Building and Analyzing a De-identified Clinical Data Resource
  National Institute of Nursing Research, National Institutes of Health (7/2018)
  


• Bringing Privacy and Security into Clinical Trials Data Collection and Dissemination
  University of Arizona (5/2018)
  


• Socio-Technical Approaches to Inject Privacy into Biomedical Data Sharing
  University of Pittsburgh Medical Center (4/2018)
  


• A Game Theoretic View on Privacy Risks in Biomedical Data Sharing
  University of California at San Diego (12/2017)
  


• De-identification, Anonymisation, and What Lies Between in Database Privacy
  King's College London (11/2017)
  


• It's All About Context: How to Achieve Pragmatic Data Privacy in the Wild
  Google (10/2017)
  


• An Open Source Tool for Game Theoretic Health Data De-identification
  Data Privacy in the Digital Age Symposium, U.S. Department of Health and Human Services (10/2017)
  


• De-identification in International Clinical Trial Datasets
  Experiences and Methods in Clinical Trials Data Sharing Symposium (10/2016)
  


• Why Data Privacy is not Dead... Yet
  Department of Computer Science, University of Texas at Dallas (9/2016)
  


• A Lifecycle Model for Privacy Preserving Record Linkage
  Isaac Newton Institute for Mathematical Sciences, University of Cambridge (9/2016)
  


• A Risk Analysis Perspective on Biomedical Data Privacy
  Massachusetts Institute of Technology (5/2016)
  


• Measuring and Managing Risks in Genomic Data Sharing
  Stanford University (3/2016)
  


• Scalable Methods for Privacy Preserving Record Linkage
  RTI Fellow Seminar Series, Research Triangle International (12/2015)
  


• Data Privacy Decision Spaces
  12th International Conference on Modeling Decisions in Artificial Intelligence (9/2015)
  


• Learning to Love De-identification in Biomedical Research
  School of Medicine, University of Michigan (5/2015)
  


• Engingeering Privacy-Preserving Record Linkage Systems
  School of Computer Science, Carnegie Mellon University (4/2015)
  


• Risk-based De-identification for Electronic Medical Records
  Division of Pharmacoepidemiology and Pharmacoeconomics, Harvard Medical School (8/2014)
  


• Demystifying Identifiability in Clinical Genomics Research
  School of Medicine, Johns Hopkins University (5/2014)
  


• Privacy in Genomics: A Marriage of Social and Technical Protections
  Discovery Institute Seminar, University of Wisconsin at Madison (4/2014)
  


• Enabling Oncology Resaerch Through De-identification
  Workshop on Contemporary Issues in Human Subjects Protections, National Cancer Policy Forum (2/2014)
  


• Re-identification and Clinical Trials Data: Oh the Possibilities!
  Institute of Medicine Workshop on Strategies for Responsibile Sharing of Clinical Trial Data (2/2014)
  


• Are Anomalies Appropriately Accountable?
  2nd International Workshop on Accountable Systems, Masschusetts Institute of Technology (1/2014)
  


• Designing Practical Data Privacy Management Systems to Support Biomedical Resarch
  School of Computer Science, Carnegie Mellon University (9/2013)
  


• Protecting the Confidentiality of Research Subjects' Genetic Data: An Impossible Task?
  University of Pittsburgh (9/2013)
  


• Cross-Cutting Needs: Infrastructure, Standards and Policy
  Big Data to Knowledge Workshop, National Institutes of Health (9/2013)
  


• Privacy Enhancing Strategies for Clinical and Genomic Data
  School of Computer Science and Communications, Ecole Polytechnique Federale de Lausanne (EPFL) (1/2013)
  


• How to Build a De-identified Clinical Data Warehouse
  Innovations in Informatics Series, Children's Hospital of Philadelphia (12/2012)
  


• If De-identification is Dead, Why Can't We Bury it?
  DAIS & HITC Joint Seminar, University of Illinois at Urbana-Champaign (10/2012)
  


• *omics and the Changing Face of Identifiability
  National Cancer Institute Think Tank on the Identifiability of Genomic Data and Biospecimens (6/2012)
  


• Privacy in Genome-based Research: Are We Kidding Ourselves?
  Translational Informatics Conference, Indiana University School of Medicine (4/2012)
  


• A Risk-based Model for Health Data De-identification
  Sansom Institute for Health Research, University of South Australia (11/2011)
  


• De-identification, Anonymization, and Beyond
  Advanced Computing Research Center, University of South Australia (11/2011)
  


• Risk-based Privacy: What are we Afraid of?
  School of Computer Science, Australian National University (11/2011)
  


• Towards a Risk-Based Framework for Health Data Privacy
  Workshop on De-identification of Health Information: Latest Developments and Potential Pathways Forward, Center for Democracy and Technology (10/2011)
  


• A (Brief) Introduction to Clinical Data, Genomics, and Privacy
  iDASH Privacy Workshop, University of California at San Diego (10/2011)
  


• Personal Health Records: Ubiquitous Healthcare with a Patchy Privacy Landscape
  Mobility, Data Mining, and Privacy (MODAP) Conference, Istanbul, Turkey (6/2011)
  


• Challenges and Solutions for Data Privacy in Translational Research
  Graduate School of Information Science in Health, Technische Universitat Munchen (6/2011)
  


• Technologies to Enable Privacy in Biomedical Databanks
  Board of Regents Meeting, National Library of Medicine (2/2011)
  


• Integrating Formalism and Pragmatism to Build Real Data Privacy Solutions
  Computer Science Seminar, Emory University (1/2011)
  


• Measuring Identifiability from a "Reasonable" View
  Secretary's Advisory Committee on Human Research Protections (SACHRP), U.S. Department of Health and Human Services (10/2010)
  


• M³: Modeling, Measuring, and Mitigating Privacy Risks in the Real World
  Center for Applied Cybersecurity Research, Indiana University at Bloomington (10/2010)
  


• Towards a Practical Perspective of Identifiability
  International Data Sharing Conference, at the Centre for Health, Law, and Emerging Technologies, University of Oxford, England (9/2010)
  


• Patient Privacy, Security & Confidentiality Issues
  Workshop on Electronic Medical Records - Challenges & Opportunities, at the Center for Discrete Mathematics & Theoretical Computer Science (DIMACS), Rutgers University (9/2010)
  


• HIPAA & a Learning Healthcare System
  Electronic Infrastructure for the Learning Healthcare System Workshop: Opportunities, Challenges, Priorities, at the Institute of Medicine of the National Academies (7/2010)
  


• Re-identification Risk: Perception vs. Reality
  Privacy Law Meets Biomedical Informatics Conference, University of Utah (3/2010)
  


• Estimating Re-identification Risk in the Context of Population-based Statistics
  IPAM Workshop on Statistical & Learning Theoretic Challenges in Data Privacy, UCLA (2/2010)
  


• A Systems Approach to Privacy in the Biomedical Domain
  Center for Research on Computation & Society, Harvard University (5/2009)
  


• Achieving Anonymity in Clinical Genomics Databases: is it Possible?
  Joint Seminar of the Institute for Advanced Computer Studies & Center for Bioinformatics & Computational Biology, University of Maryland (2/2009)
  


• Why De-identification Fails: Data Privacy in Biomedical Research Repositories
  Informatics Grand Rounds, Mayo Clinic (12/2008)
  


• Building Centralized Databases with Provable Privacy
  Sabanci University (Istanbul, Turkey; 9/2008)
  


• Protecting Data Privacy in Clinical Genomics Research
  Research Rounds, Children's Hospital of Eastern Ontario Research Institute (5/2008)
  


• You Work With Her?!?! Mining Social Networks from Electronic Medical Records for Organizational Management
  Informatics Seminar, Vanderbilt University (4/2008)
  


• More than a Matter of Trust: Security and Privacy Issues in Voter Registration Records
  National Academies Workshop on State Voter Registration Databases (11/2007)
  


• Data Mining Applications & Privacy
  29th International Conference of Data Protection & Privacy Commissioners (Montreal, Canada; 9/2007)
  


• Computational Approaches for Patient Privacy in Secondary Data Sharing
  NIAID Bioinformatics Summit (Gaithersburg, MD; 5/2007)
  


• Re-identification Risk in Distributed Surveillance
  Data Surveillance & Privacy Protection Workshop, Harvard University (6/2006)
  


• Formal Privacy in DNA Database Disclosure
  IBM Almaden Research Center (5/2006)
  


• DNA Re-identification & Privacy in Distributed Environments
  Text Analysis & Machine Learning Seminar, University of Ottawa (2/2006)
  


• New Directions in Computer Science Research & Education: Data Privacy & Anonymity
  CyLab Seminar, Carnegie Mellon University (6/2005)
  


• Privacy Policy in International Software Development
  Three guest lectures in Methods of Software Development, Graduate CS course, Carnegie Mellon University (3/2003)
  


• Genotype Inference from Clinical Phenotype via Concept Learning
  Center for Biomedical Informatics, University of Pittsburgh (4/2002)