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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
- Spring 2021: Methodological Foundations of Biomedical Informaitcs
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
Conference Scientific Program Commitees (Upcoming)
- AIKE: IEEE Interenational Confernce on Artificial Intelligence and Knowledge Engineering
- CD-MAKE: IFIP Cross-Domain Conference for Machine Learning and Knowledge Extraction
- CODASPY: ACM Conference on Data and Application Security and Privacy
- DBSec: Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy
- DPM: International Workshop Data Privacy Management
- ICISSP: International Conference on Information Systems Security and Privacy
- ICSC: IEEE International Conference on Semantic Computing
- SEHCInternational Workshop on Software Engineering for Healthcare
- TransAI: IEEE International Conference on Transdisciplinary AI
Awards & Honors ...
... Elected to the American Institute for Medical and Biological Engineering (3/1/21)
... Elected to the International Academy of Health Sciences Informatics (8/27/20)
... Distinguished Paper Award at the 2019 AMIA Annual Symposium (12/19/19)
... Best Data Science Paper Award at the 2019 AMIA Informatics Summit (4/4/19)
... Elected to the National Academy of Medicine (10/15/18)
News Stories ...
... our Op-Eds on why sharing COVID-19 test results with law enforcement is a problem (5/2020) ... but we must share aggregate counts on infections - especially in schools! (8/2020)
... on legal challenges to genetic data privacy (5/2019)
... on our winning solution to the iDASH Genome Privacy Competition (GenomeWeb story and Vanderbilt story) (12/2016)
Testimony...
... for the U.S. Commission on Evidence-based Policymaking on applications of homomorphic cryptography for statistical computation (2/24/2017)
Invited ...
... Data Science Institute at Lawrence Livermore National Laboratory (7/28/2021)
... National Cancer Institute Cancer Moonshot Seminar (1/27/2021)
... talk at the NIH/OD Office of Data Science Strategy Special Track at the Intelligent Systems for Molecular Biology (ISMB) Conference (7/14/2020)
Policy Forum piece in Science...
"Is it time for a universal genetic forensic database?"
Recent Accepted Papers...
... Journal of the American Medical Informatics Association:
SynTEG: A Framework for Temporal Structured Electonic Health Data Simulation
... AMIA 2021 Informatics Summit:
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge
... Journal of the American Medical Informatics Association:
SCOR: A Secure International Informatics Architecture to Investigate COVID-19