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Bradley Malin, Ph.D.
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Research
I have broad research interests in data science, management, and trustworthy computing. I believe that the analysis of large quantities of health and molecular information has the potential to refine phenotype definitions into significantly more nuanced models, as well as novel clinical concepts, which associate with differential response to interventions. My research has demonstrated that we can make rapid progress in this direction by integrating novel computing infrastructures with statistically-driven methods to learn patterns and test predictive models. However, to maximize the potential for data science in clinical investigations, we must make data available on a broad scale without violating the rights of the people to whom it corresponds. As such, a great deal of my research focuses on the development of multidisciplinary approaches to privacy preservation that draw upon methods from computer science, biomedical knowledge modeling, policy analysis, and economics.
Students
Check out the people on the privacy lab's online home.
Teaching
- Fall 2016: Introduction to Applied Clinical Informatics (MSACI-6110) [team taught]
- Fall 2016: Foundations of Health Information Technology (MSACI-6111) [team taught]
Service
- Associate Editor, ACM Transactions on Privacy and Security
- Editorial Board, Journal of the American Medical Informatics Association
- Editorial Board, Learning Health Systems
- Editorial Board, Methods of Information in Medicine
- Editorial Board, Transactions on Data Privacy
- Guest Editor, Annals of Applied Statistics
- Guest Editor, IEEE Security and Privacy Magazine: Special Issue on Genomic Privacy
Conference Program Commitees (Upcoming)
- AAAI: American Association for Artificial Intelligence Annual Conference
- AusDM: Australasian Data Mining Confrerence
- BCB: ACM International Conference on Bioinformatcs, Computational Biology, and Health Informatics
- BIGCONGRESS: IEEE International Congress on Big Data
- BIGDATA: IEEE International Conference on Big Data
- DPM: International Workshop on Data Privacy Management
- DSS: IEEE International Conference on Data Science and Systems
- GenoPri: International Workshop on Genome Privacy and Security
- FAB: International Symposium on Foundations and Applications of Big Data Analytics
- ICBK: IEEE International Conference on Big Knowledge
- ISI: IEEE International Conference on Intelligence and Security Informatics
- PAIS: Privacy and Anonymity in the Information Society Worksop
Awards & Honors ...
... Appointed to the Technical Anonymisation Group of the European Medicines Agency (7/12/2017)
... Named a Chancellor Faculty Fellow for 2016-2018
News Stories ...
... on our winning solution to the iDASH Genome Privacy Competition (GenomeWeb story and Vanderbilt story) (12/2016)
... on our new Center of Excellence in Ethics Research (on Genomics and Data Privacy) (5/2016)
... on the new Big Biomedical Data Science Ph.D. Program (4/2016)
... on our involvment in the Precision Medicine Initiative pilot (2/2016)
Testimony...
... for the U.S. Commission on Evidence-based Policymaking (2/24/2017)
Lectures, Seminars, & Panels...
... at the Harvard University Executive Course on Leadership Strategies for Information Technology in Health Care (5/18/2017)
... at University of Cambridge (12/7/2016)
Letter to Science...
"Assessing Data Intrusion Threats"
Recent Accepted Papers...
... American Journal of Human Genetics:
Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach
... AAAI Conference on Weblogs and Social Media:
The Power of the Patient Voice: Learning Indicators of Hormonal Therapy Adherence From an Online Breast Cancer Forum
... Journal of the American Medical Informatics Association:
Identifying Collaborative Care Teams through Electronic Medical Record Utilization Patterns