Bradley Malin, Ph.D.
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.
Conference Scientific Program Commitees (Upcoming)
... Fellow in the American Institute for Medical and Biological Engineering (3/1/21)
... Best Data Science Paper Award at the 2019 AMIA Informatics Summit (4/4/19)
... Fellow in 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)
... Collaborative Community on Opthalmic Imaging Conference, panelist on cybersecurity (1/28/2022)
... Sentinel Innovation Center, panelist on synthetic data (10/18/2021)
... Lawrence Livermore National Laboratory, Data Science Institute Seminar (7/28/2021)
... National Cancer Institute Cancer Moonshot Seminar (1/27/2021)
Journal of the American Medical Informatics Association:
SynTEG: A Framework for Temporal Structured Electonic Health Data Simulation
... Science Advances:
Re-identification of Individuals in Genomic Datasets Using Public Face Images
... Clinical Infectious Diseases:
Antibodies to SARS-CoV-2 in All of Us Research Program Participants, January 2 - March 18, 2020