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Andrew Deas

Postdoctoral Research Associate

Contact

DEASAJ@ORNL.GOV

I am a postdoctoral research associate in the Advanced Computing for Health Sciences Section at 91°µÍø. My work focuses on applying machine learning, artificial intelligence, and computational modeling to address real-world challenges in public and population health.

Currently, I am developing natural language processing (NLP) models to help clinicians make more informed prescribing decisions and improve patient care. I am also building an agent-based modeling framework to simulate individual-level health risks across the United States.

I earned my Ph.D. in Mathematics from the University of Tennessee, where I was a member of the , working at the intersection of data science, statistical modeling, and AI/ML.