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Bradley Malin, Ph.D.
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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.
Check out the people on the privacy lab's online home.
Workshop Organizer (Upcoming)
Conference Scientific Program Commitees (Upcoming)
... Elected to the International Academy of Health Sciences Informatics (7/31/20)
... 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)
... 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)
... for the U.S. Commission on Evidence-based Policymaking on applications of homomorphic cryptography for statistical computation (2/24/2017)
... talk at the NIH/OD Office of Data Science Strategy Special Track at the Intelligent Systems for Molecular Biology (ISMB) Conference (7/14/2020)
... talk at the Workshop on De-identification of Natural Language Clinical Documents at the National Cancer Institute (2/25/2020)
... keynote at the Translational Data Science Workshop at University of Florida (2/3/2020)
"Is it time for a universal genetic forensic database?"
... 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