Bradley A. Malin2525 West End Ave, Suite 1475 Nashville, TN 37203 tel: +1 615 343 9096 fax: +1 615 936 8545 |
Professional Positions [hide details]
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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
Education [hide details]
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
Honors and Awards [show details]
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
- Paper (#46) 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 (#109) 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 (#168) 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
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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
Service [show details]
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
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
- AIKE: IEEE International Conference on Artificial Intelligence and Knolwedge Engineering, 2018, 2019
- AusDM: Australasian Data Mining Conference, 2007, 2008, 2009, 2011, 2012, 2013, 2014, 2015, 2016, 2017
- BCB: ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, 2015, 2016, 2017
- CD-MAKE: International IFIP Cross Domain (CD) Conference for Machine Learning & Knowledge Extraction (MAKE), 2018, 2019
- CODASPY: ACM Conference on Data and Application Security and Privacy, 2019
- CRI: AMIA Summit on Clinical Research Informatics, 2017
- DEPM: International Workshop on Emerging Data Engineering Methods and Approaches for Precision Medicine, 2018
- DPM: Data Privacy Management International Workshop
(@ European Symposium on Research in Computer Security), 2011, 2013, 2017
- 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
- ICBK: IEEE International Conference on Big Knowledge, 2017
- ICDM: IEEE International Conference on Data Mining, 2008, 2009, 2010, 2011, 2013, 2014, 2015, 2016, 2017, 2018
- 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
- IWCC: IEEE Workshop on Cloud Compliance
(@ IEEE International Conference on Distributed Computing Systems), 2015
- MEDINFO: World Congress on Medical and Health Informatics, 2013
- 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
- PDDM: Privacy and Discrmination in Data Mining Workshop
(@ IEEE International Conference on Data Mining), 2016
- 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
- PSDM: Privacy and Security Issues in Data Mining and Machine Learning Workshop (at ECML/PKDD), 2010
- SACMAT: ACM Symposium on Access Control Models and Technologies, 2012
- SCH: ACM International Workshop on Smart and Connected Health
(@ the ACM Conference on Bioinformatics, Computational Biology, and Health Informatics), 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:
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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
Grants and Funding [show details]
Principle Investigator (or Co-PI)
- 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) - 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) - 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 - 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) - 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 - 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) - 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) - 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)
- 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) - 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) - 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) - Evaluating Software Tools for Protecting Medical Information Privacy
Seed Grant, Vanderbilt University International Office, 5/2008 - 1/2009, $10,000 - Developing and Teaching Biomedical Data Privacy Technologies
Vanderbilt Center for Biomedical Ethics and Society, 1/2008 - 6/2008, $20,000
Key Personnel
- 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) - 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) - Precision Medicine Initiative Participants Preparatory / Protyping Initiative
Grant OT2OD023132, Office of the Director, National Institutes of Health, 2/2016 - 2/2017
(PI: Joshua Denny) - The Mid-South Clinical Data Research Network
Grant # TBD, Patient Centered Outcomes Research Institute, 9/2015 - 8/2017
(PI: Russell Rothman) - 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) -
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
- 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) - 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) - 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) - 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)
Publications [show details]
Peer-Reviewed Book Chapters
- 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.
- Assessing Risks to Privacy in Biospecimen Research
Ellen Wright Clayton and Bradley Malin
In Specimen Science: Ethics and Policy Implications, MIT Press. 2017.
- 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.
- 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.
- 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.
- 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. - 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
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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, 2019; forthcoming.
- 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, 2019; forthcoming.
- 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; forthcoming.
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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; forthcoming.
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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; forthcoming.
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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.
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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.
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Systematizing Genome Privacy Research: A Privacy-Enhancing Technologies Perspective
Alexandros Mittos, Bradley Malin, and Emiliano de Cristofaro
Proceedings of the Privacy Enhancing Technologies Symposium, 2019; forthcoming.
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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.
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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.
- 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.
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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.
- 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 - 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.
- 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.
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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.
- 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.
- 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.
- 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: forthcoming.
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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.
- 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.
- 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: forthcoming.
- 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.
- 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.
- 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: forthcoming.
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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.
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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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 - 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 - 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.
- 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.
- 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.
- #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.
- 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.
- 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.
- Anonymizing and Sharing Individual Patient-Level Data
Khaled El Emam, Sam Rodgers, and Bradley Malin
BMJ, 2015; 350: h1139.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 - 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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) - 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.
- 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.
- 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.
- 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.
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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. -
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. - 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.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Specializing Network Analysis to Detect Anomalous Insider Actions
You Chen, Steve Nyemba, Wen Zhang, and Bradley Malin
Security Informatics, 2012; 1: 5.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- COAT: Constraint-based Anonymization of Transactions
Grigorios Loukides, Aris Gkoulalas-Divanis, and Bradley Malin
Knowledge and Information Systems, 2011; 28: 251-282.
- 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.
- Identifiability in Biobanks: Models, Measures, and Mitigation Strategies
Bradley Malin, Grigorios Loukides, Kathleen Benitez, and Ellen Wright Clayton
Human Genetics, 2011; 130: 383-392.
- Learning Relational Policies from Electronic Health Record Access Logs
Bradley Malin, Steve Nyemba, and John Paulett
Journal of Biomedical Informatics, 2011; 44: 333-342.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.)
- 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
- Secure Construction of k-unlinkable Patient Records from Distributed Providers
Bradley Malin Artificial Intelligence in Medicine, 2010; 48(1): 29-41.
- 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.
- 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.
- 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. - 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.
- 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.
- 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.
- 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.
- 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. - K-Unlinkability: A Privacy Protection Model for Distributed Data
Bradley Malin
Data and Knowledge Engineering, 2008; 64(1): 294-311.
- 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.
- 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.
- 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.
- A Computational Model to Protect Patient Data from Location-Based Re-identification
Bradley Malin
Artificial Intelligence in Medicine, 2007; 40(3): 223-239.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
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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.
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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.
- 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.
- Betrayed By My Shadow: Learning Data Identity via Trail Matching (cached copy at CiteSeer)
Bradley Malin
Journal of Privacy Technology, 2005; 20050609001.
- Protecting Genomic Sequence Anonymity with Generalization Lattices
Bradley Malin
Methods of Information in Medicine, 2005; 44(5): 687-692.
-
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.
-
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.
- 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.
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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.
- 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.
- 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.
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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.
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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.
- 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.
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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.
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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.
- 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.
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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.
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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
- 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.
- Between Access and Privacy: Challenges in Sharing Health Data
Bradley Malin and Kenneth Goodman
Yearbook of Medical Informatics, 2018: 27(1): 55-59.
- 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.
- 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.
- 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.
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Recent Advances in Preserving Privacy While Mining Data
Francesco Bonchi, Bradley Malin, and Yucel Saygin
Data and Knowledge Engineering, 2008: 65(1):1-4.
-
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.
- 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
-
The Need for Better Data Breach Statistics
Daniel Fabbri, Mark Frisse, and Bradley Malin
JAMA Internal Medicine, 2017; 177(11): 1696. -
Benefits and Risks of Machine Learning Decision Support Systems
Thomas Lasko, Colin Walsh, and Bradley Malin
JAMA, 2017; 318(23): 2355. -
Assessing Data Intrusion Threats
Dan Barth-Jones, Khaled El Emam, Jane Bambauer, Ann Cavoukian, and Bradley Malin
Science, 2015; 348(6231): 194-195. -
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)
-
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
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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.
Teaching Experience [show details]
- Instructor - Data Privacy in Biomedicine (VUMC BMIF-380 / VU CS-396); Spring 2008 - 2018
- Guest Instructor - TRUST WISE Institute; Summer 2009 - 2011, 2013, 2015
- Team Instructor - Methodological Foundations of Biomedical Informatics (VUMC BMIF-315); Spring 2007 - 2018
- 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
Student Advising [show details]
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)
Selected Invited Lectures, Talks, and Testimonies [show details]
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)