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.
Conference Scientific Program Commitees (Upcoming)
... Elected Fellow of the Institute of Electrical and Electronics Engineers (IEEE)(1/1/24)
... Lasting Research Award from the ACM Conference on Data and Applications Security and Privacy (5/19/22)
... Elected Fellow of the American Institute for Medical and Biological Engineering (3/10/21)
... 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)
... panelist at ELSIHub (2/9/24)
... seminar at the Clinical Research Ethics Consultation Collaborative (2/6/24)
... keynote at the MIRACUM-DIFUTURE-Symposium in Erlangen, Germany (10/9/23)
... keynote panelist at the Festival of Genomics - Boston (10/4/23)
"Is it time for a universal genetic forensic database?"
... Journal of the American Medical Informatics Association:
Managing Re-identification Risks While Providing Access to the All of Us Research Program
... Nature Communications:
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models
... Journal of Medical Internet Research:
Human-Centered Design to Address Biases in Artificial Intelligence