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)
... Lasting Research Award from ACM CODASPY (4/25/22)
... 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)
... 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)
... Informa Digital Event on AI Applications for Big Data in (Bio)Pharama, panelist (5/19/22)
... Machine Learning in Medicine Seminar, CMU-Pitt-UPMC-Toronto (5/18/22)
... ELSIHub Friday Forum, panelist on data sharing and privacy (4/8/22)
Journal of the American Medical Informatics Association:
Dynamically Adjusting Case Reporting Policy to Maximize Privacy and Public Health Utility in the Face of a Pandemic
... 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