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Bradley Malin, Ph.D.
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Research
I have broad research interests in artificial intelligence, 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 2024: Methodological Foundations of Biomedical Informatics [team taught]
Service
- Co-Editor-in-Chief, JMIR AI
- Editorial Board, Learning Health Systems
- Editorial Board, Methods of Information in Medicine
- Editorial Board, Transactions on Data Privacy
Conference Scientific Program Commitees (Upcoming)
- AAAI: Annual AAAI Conference on Artificial Intelligence
- AIKE: IEEE Interenational Conference on Artificial Intelligence and Knowledge Engineering
- AIME: International Conference on Artificial Intelligence in Medicine
- BIGDATA: IEEE International Conference on Big Data
- CD-MAKE: IFIP Cross-Domain Conference for Machine Learning and Knowledge Extraction
- ELSI: The ELSI Congress: Reimagining the Benefits of Genomic Science
- ICDM: IEEE International Conference on Data Mining
- ICISSP: International Conference on Information Systems Security and Privacy
- ISI: IEEE International Conference on Intelligence and Security Informatics
- TransAI: IEEE International Conference on Transdisciplinary AI
Awards & Honors ...
... 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)
News and News Stories ...
... I am a member of the National Academies Study on "Assessing and Navigating Biosecurity Concerns and Benefits of Artificial Intelligence Use in the Life Sciences" (7/2024)
... 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)
Invited ...
... speaker at the Healthcare Artificial Intelligence Sessions, at the Brock Family Center for Applied Innovation at Vanderbilt (10/10/24)
... Health AI Seminar, University of Illinois Urbana-Champaign (10/9/24)
... panelist at the Responsible AI for Health Symposium, Johns Hopkins University (8/29/24)
... Grand Rounds at Wake Forest University, Department of Medicine (4/11/24)
Policy Forum article in Science...
"Is it time for a universal genetic forensic database?"
Recent Accepted Papers...
... NPJ Digital Medicine:
Leveraging Generative AI to Prioritize Drug Repurposing Candidates for Alzheimer’s Disease with Real-World Clinical Validation
... JAMA Network Open:
Differences in Health Professionals’ Engagement with Electronic Health Records Based on Inpatient Race and Ethnicity