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Bradley Malin, Ph.D.
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Research
I have broad research interests in data mining, 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]
- Spring 2016: Data Privacy in Biomedicine (BMIF-7380, CS-8396)
- Spring 2016: Methodological Foundations of Biomedical Informatics (BMIF-6315) [team taught]
Service
- AMIA: American Medical Informatics Association (AMIA) Annual Symposium
- BCB: ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
- BIGDATA: IEEE International Conference on Big Data
- CRI: AMIA Summit on Clinical Research Informatics
- FAB: International Symposium on Foundations and Applications of Big Data Analytics
- ICDM: IEEE International Conference on Data Mining
- ISI: IEEE International International Conference on Intelligence and Security Informatics
- PDDM: IEEE International Workshop on Privacy and Discrimination in Data Mining
Guest Editor, IEEE Security and Privacy Magazine: Special Issue on Genomic Privacy
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
Scientific Program Committee (Upcoming)
Award ...
Named a Chancellor Faculty Fellow for 2016-2018
News Stories ...
... 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)
... on game theory and identifiability (3/2015)
... on cryptography for genomics in Nature Medicine (6/2014)
Lectures, Seminars, & Panels...
... at University of Texas at Dallas (9/30/2016)
... at University of Cambridge (9/13/2016)
... testimony for the National Committee on Health and Vital Statistics (5/24/2016)
... at MIT (5/4/2016)
Recent Letter to Science...
"Assessing Data Intrusion Threats"
Recent Accepted Papers...
... IEEE Journal of Biomedical and Health Informatics:
Patient Stratification Using Electronic Health Records from a Chronic Disease Management Program
... PLoS One:
A Game Theoretic Framework for Analyzing Re-identification Risks
... 2016 AAAI Conference on Web and Social Media:
#PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information