Bradley A. Malin

Vanderbilt University Medical Center
• 2014 - Present, Co-Director, AI Discovery and Vigilance to Accelerate Innovation and Clinical Excellence (ADVANCE) Center
• 2013 - Present, Vice Chair for Research, Department of Biomedical Informatics. School of Medicine
  
• 2020 - Present, Accenture Professor of Biomedical Informatics, Biostatistics, and Computer Science
  
• 2012 - Present, Affiliated Faculty, Center for Biomedical Ethics and Society
  
• 2016 - Present, Co-Director, Center for Genetic Privacy and Identity in Community Settings (GetPreCiSe)
  
• 2008 - Present, Director, Health Information Privacy Laboratory (HIPLab)
  

Previous Positions

• 2017 - 2020, Professor of Biomedical Informatics, Biostatistics, and Computer Science
  
• 2016 - 2017, Associate Professor of Biostatistics, School of Medicine, Vanderbilt University
  
• 2015 - 2024, Director, Health Data Science Center (HEADS)
  
• 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; 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

Academies

• Elected Fellow, Institute of Electrical and Electronics Engineers (IEEE), 2024
  
• Elected Fellow, American Institute for Medical and Biological Engineering (AIMBE), 2021
  
• Elected Fellow, International Academy of Health Sciences Informatics (IAHSI), 2020
  
• Elected Fellow, National Academy of Medicine (NAM), 2018
  
• Elected Fellow, American College of Medical Informatics (ACMI), 2011
  

Notable General Awards

• Lasting Research Award, ACM Conference on Data and Applications Security and Privacy (CODASPY), 2022
  
• Vanderbilt Chancellor Faculty Fellow, 2016-2018
  
• IBM Smarter Planet Faculty Award, 2014-2015
  
• 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

• Distinguished Paper Award, American Medical Informatics Association (AMIA) Annual Fall Symposium, 2019
• Data Science Distinguished Paper Award, AMIA Informatics Summit, 2018
• Paper 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 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, I was primary advisor), AMIA Annual Symposium, 2010
• Distinguished Paper Award, AMIA Annual Symposium, 2009
• Distinguished Paper Award Finalist, AMIA Annual Symposium, 2006
• Paper 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

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

Advisory Boards

• Board of Scientific Counselors, National Center for Health Statistics, U.S. Centers for Disease Control and Prevention, 2020-2024
• Scientific Advisory Board, DIFUTURE, sponsored by the German Ministry of Education and Research, 2018-2023
• External Advisory Board, Cleveland Institute for Computational Biology, 2017-present
• Ethics Advisory Board, BioVU: the Vanderbilt DNA Databank, 2012-present
• Ethics Advisory Board, ImmPort: The Immunology Database and Analysis Portal, 2013-2018
• Stakeholder Advisory Board, Governance of Learning Activities in Learning Healthcare Systems Project, University of Pennsylvania, 2016-present
• Technical Anonymisation Group, European Medicines Agency, 2017-present
• Data Security Subcommittee, CancerLinQ program, American Society of Clinical Oncology, 2014-2016

National Study Committees

• National Acadmies Board on Research Data and Information Committee, Realizing Opportunities for Advanced and Automated Workflows in Scientific Research, 2019-2022
• 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
• National Academy of Medicine Steering Committee, Building Stakeholder Demand for Health Data Sharing, Linkage, and Use, 2018 - 2021
• Transportation Research Board Committee, Safety Data Access Expert Task Group of the Strategic Highway Research Program, 2015 - 2018

Steering Committees

• iDASH Healthcare Privacy Protection Challenge, 2014 - present
• Next Generation Community Financial Cyberinfrastruture for Managing Systemic Risk Workshop, 2012
• Mobility, Data Mining, and Privacy Conference, 2011

Editorial Functions

• Co-Editor-in-Chief, JMIR AI, 2022 - present
• Associate Editor, ACM Transactions on Privacy and Security, 2014 - 2023
• Editorial Board, Journal of the American Medical Informatics Association, 2013 - 2021
• 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 [Not complete list]

• AAAI: American Association for Artificial Intelligence Annual Conference, 2016, 2017, 2018,2019
• AIKE: IEEE International Conference on Artificial Intelligence and Knolwedge Engineering, 2018
• AMIA: American Medical Informatics Association Annual Fall Symposium, 2010, 2013, 2016, 2018, 2022
• ASIA: Annual Symposium on Information Assurance, 2013, 2014, 2015, 2016
• AusDM: Australasian Data Mining Conference, 2007, 2008, 2009, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2023
• 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
• BIGCONGRESS: IEEE Big Data Congress, 2014, 2016, 2017, 2018
• CAI: Canadian Conference on Artificial Intelligence, 2014, 2018
• CECC: Central European Cybersecurity Conference, 2017, 2018
• CODASPY: ACM Conference on Data and Application Security and Privacy, 2019, 2023
• 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
• 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
• ICHI: IEEE International Conference on Healthcare Informatics, 2013, 2014
• IHI: ACM International Health Informatics Symposium, 2010, 2012
• 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, 2023
• 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, 2023



University & Departmental Committees

• Faculty Advisory Committee, Center for Technology Transfer & Commercialization, Vanderbilt University, 2013 - 2019
• Faculty Advisory Committee, Advanced Computing Center for Research and Education, Vanderbilt University, 2016 - present
• Faculty Search Committee, Department of Electrical Engineering & Computer Science, Vanderbilt University, 2012 - 2013, 2014 - 2015
• 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. Bridge2AI Center - Ethics Core
   Grant U54HG012510, Office of the Director, National Institutes of Health, 6/2022 - 4/2026, ~$3,500,000
   (Co-PI: Ellen Clayton, Xiaoqian Jiang @ University of Texas, Camille Nebecker @ UC San Diego)


2. AIM-AHEAD - Infrastructure Core
   Grant OT2OD032581, Office of the Director, National Institutes of Health, 9/2021 - 9/2023, ~$3,000,000
   (Co-PI: Alex Carlisle @ NADPH, Paul Avillach @ Harvard)


3. Vanderbilt Biomedical Informatics Traning Program
   Grant 2T15LM007450, National Library of Medicine, National Institutes of Health, 7/2017 - 6/2026, ~$3,400,000
   (Co-PI: Jessica Ancker and Kim Unertl; Previously: Cynthia Gadd, Gretchen Purcell Jackso, and Jeremy Warner)


4. Research Experience for Undergraduates Site: Program for Access to Training in Health Informatics (PATHI)
   Grant 2050895, National Science Foundation, 3/2018 - 6/2024, ~$800,000 (renewed 1x)
   (Co-PI: Kim Unertl)


5. RAPID: Collaborative: A Privacy Risk Assessment Framework for Person-Level Data Sharing During Pandemics
   Grant 2029651, National Science Foundation, 5/2020 - 4/2021, ~$100,000
   (Co-PI: Murat Kantarcioglu @ University of Texas)


6. 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
   


7. Genetic Privacy and Identity in Community Settings: An ELSI Research Center
   Grant 5RM1HG009034, National Human Genome Research Institute, National Institutes of Health, 5/2020 - 4/2024, ~$4,000,000
   Grant 1RM1HG009034, National Human Genome Research Institute, National Institutes of Health, 5/2016 - 4/2020, ~$4,000,000
   (Co-PI: Ellen Wright Clayton)


8. 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
   


9. 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)
   


10. 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)
    


11. 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)
    


12. 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)
    


13. 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)
    


14. 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)
    


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


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

Key Personnel

17. Data and Research Support Center for the Precision Medicine Initiative
    Grant U2COD023196, Office of the Director, National Institutes of Health, 7/2016 - 6/2023
    (PI: Paul Harris and Dan Roden; Previously: Josh Denny)
    


18. Prediction of Anti-Cancer Medication Discontinuation via Patient Portal Messages and Structured Electronic Medical Records
    Grant R37CA237452, National Cancer Institute, National Institutes of Health, 5/2020 - 4/2024
    (PI: Zhijun Yin)
    


19. Discovering Care Coordination Practice Patterns in the EMR: Interpretation and Impact on Patient Outcomes
    Grant R01LM012854, National Library of Medicine, National Institutes of Health, 9/2019 - 4/2013
    (PI: You Chen)
    


20. The Sepsis ClinicAl Resource And Biorepository (SCARAB) Project
    Grant R21GM144915, National Institute of General Medical Sciences, National Institutes of Health, 1/2022 - 12/2023
    (PI: Julie Bastarache)
    


21. 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)
    


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


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


24. 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)
    


25. 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
    


26. 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)
    


27. 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)
    


28. 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)
    


29. 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 Publications

I have published over 250 papers. It's best to just take a look at Google Scholar.

Still, some have not made it into the public domain yet. So, here are several recent papers that may be of interest:

1. A Representativeness-Informed Model for Research Record Selection from Electronic Medical Record Systems
   Victor Borza, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, and Bradley Malin
   Proceedings of the American Medical Informatics Annual Fall Symposium. 2022, in press.


2. Supporting COVID-19 Disparity Investigations with Dynamically Adjusting Case Reporting Policies
   J. Thomas Brown, Zhiyu Wan, Aris Gkoulalas-Divanis, Murat Kantarcioglu, and Bradley Malin
   Proceedings of the American Medical Informatics Annual Fall Symposium. 2022, in press.

Peer-Reviewed Book Chapters

1. Game Theory for Privacy-Preserving Genomic Data
   Zhiyu Wan, Yevgeniy Vorobeychik, Ellen Wright Clayton, Murat Cantarcioglu, and Bradley Malin
   In Responsible Genomic Data Sharing, Elsevier Press. 2020.
   
   
2. Learning Hormonal Therapy Medication Adherence From an Online Breast Cancer Forum
   Zhijun Yin, Jeremy Warner, Lijun Song, Pei-Yun Hsueh, Ching-Hua Chen, and Bradley Malin
   In Social Web and Health Research, Springer Press. 2019.
   
   
3. 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 Cambridge University Press. 2018.
   
   
4. Assessing Risks to Privacy in Biospecimen Research
   Ellen Wright Clayton and Bradley Malin
   In Specimen Science: Ethics and Policy Implications, MIT Press. 2017.
   
   
5. 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.
   
   
6. 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.
   
   
7. 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.
   


8. 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.


9. 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.

Editorials

1. Introducing JMIR AI
   Khaled El Emam and Bradley Malin
   JMIR AI, 2022; 1(1): e42046.
   


2. An Introduction to the Selected Papers of GenoPri'16: the Third 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.
   


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


4. 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.
   


5. 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.
   


6. 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.
   


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


8. 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.
   


9. 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

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


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


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


4. 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)

1. 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

1. 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-7380 / VU CS-8396); Spring 2008 - 2022
• Guest Instructor - TRUST WISE Institute; Summer 2009 - 2011, 2013, 2015
• Team Instructor - Methodological Foundations of Biomedical Informatics (VUMC BMIF-6315); Spring 2007 - 2023
• Team Instructor - Foundations of Biomedical Informatics (VUMC BMIF-6300); Fall 2006 - 2022
• 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


• Benjamin Collins, M.D., M.A.
  • My Role: Co-Primary Research Advisor (with Ellen Wright Clayton)


• Aris Gkoulalas-Divanis, Ph.D.
  • My Role: Primary Research Advisor
  • Now a research staff member of Merative (formerly IBM Watson Health)


• James Hazel, J.D., Ph.D.
  • My Role: Co-Primary Research Advisor (with Ellen Wright Clayton and Chris Slobogin)
  • Now a Research Program Manager at Access to Medicine Foundation


• Raymond Heatherly, Ph.D.
  • My Role: Primary Research Advisor
  • Now a Senior Manager of Consumer Machine Learning at Realtor.com


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


• Zhiyu Wan, Ph.D.
  • My Role: Primary Research Advisor


• Weiyi Xia, Ph.D.
  • My Role: Primary Research Advisor
  • Now a Privacy Engineer at Truveta


• Chao Yan, Ph.D.
  • My Role: Primary Research Advisor

PhD Advising

• James Ainooson, Ph.D. [Computer Science, Vanderbilt University, 2023]
  • My Role: Dissertation Committee Member
  • Dissertation Title: Learning Programs for Modeling Strategy Differences in Visuospatial Reasoning


• 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


• Victor Borza [Biomedical Informatics, Vanderbilt University, in progress]
  • My Role: Dissertation Committee Chair
  • Dissertation Proposal: TBD


• James (Thomas) Brown, M.S. [Biomedical Informatics, Vanderbilt University, in progress]
  • My Role: Dissertation Committee Chair
  • Dissertation Proposal: TBD


• 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 Product Manager at AirBnB


• 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


• Jia Guo, M.S. [Computer Science, Vanderbilt University, in progress]
  • My Role: Dissertation Committee Chair
  • Dissertation Proposal: TBD


• Bo Li, Ph.D. [Computer Science, Vanderbilt University, 2016]
  • My Role: Dissertation Committee Member
  • Dissertation: Secure Learning in Adversarial Environments
  • Now an Assistant Professer 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 Apple


• 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


• Yongtai Liu, Ph.D. [Computer Science, Vanderbilt University, 2022]
  • My Role: Dissertation Committee Chair
  • Dissertation: Understanding Public Perception of Societal Concerns Using Social Media Platforms
  • 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


• Lina Sulieman, Ph.D. [Biomedical Informatics, Vanderbilt University, 2018]
  • My Role: Dissertation Committee Member
  • Dissertation Proposal: Finding Semantics Within Clinical Data: What Lies Within Structured and Unstructured Data
  • Now a Research Assistant Professor at Vanderbilt University


• Ashish Tapdiya, Ph.D. [Computer Science, Vanderbilt University, 2018]
  • My Role: Dissertation Committee Member
  • Dissertation Proposal: Large Scale Data Management For Enterprise Workloads
  • Now a Senior Data Software Engineer at Community Health Systems


• Zhiyu Wan, Ph.D. [Computer Science, Vanderbilt University, 2020]
  • My Role: Primary Research Advisor
  • Dissertation: Privacy-Preserving Sharing of High-Dimensional Data Based on Computational Game Theory
  • Became a Post-Doctoral Research Fellow


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


• 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


• 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 Uber


• Chao Yan, Ph.D. [Computer Science, Vanderbilt University, 2021]
  • My Role: Dissertation Chair
  • Dissertation: Game Theoretic Approaches for Intelligent Auditing
  • Became a Post-Doctoral Research Fellow


• Cheng Ye, PhD. [Computer Science, Vanderbilt University, 2019]
  • My Role: Dissertation Committee Member
  • Dissertation: Information Retrieval in Clinical Chart Review


• Zhijun Yin, Ph.D. [Computer Science, Vanderbilt University, 2018]
  • My Role: Dissertation Chair
  • Dissertation: 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 Facebook


• Ziqi Zhang, Ph.D. [Computer Science, Vanderbilt University, 2022]
  • My Role: Dissertation Chair
  • Dissertation: Synthetic Data Simulation for Privacy-Preserving Medical Data Sharing



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, M.S. [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, Ph.D. [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, Ph.D. [visiting student from Sabanci University; 2008]
  
  • My Role: Research Project Advisor
  • Now an Assistant Professor at Sabanci 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)


• Atanas Golev [Computer Science, University of Kentucky, 2018]
  • My Role: Summer Research Internship Supervisor (NSF sponsored)


• Abinithia Gourabathina [Operations Research and Financial Engineering, Princeton University, 2023]
  • My Role: Summer Research Internship Supervisor (NSF sponsored)


• Nicholas Jackson [Computer Science, University of Florida, 2023]
  • My Role: Summer Research Internship Supervisor (NSF sponsored)


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


• Alina Lam [Computer Science, Bowdoin College, 2021]
  • My Role: Summer Research Internship Supervisor (NSF sponsored)


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


• Khanly Nguyen [Computer Science, University of Utah, 2019]
  • My Role: Summer Research Internship Supervisor (NSF sponsored)


• 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

• 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)