John Halifax is an Epidemiology PhD student at UC Berkeley’s School of Public Health. He broadly explores the role of neighborhood and place as determinants of health from an ecosocial perspective using flexible, minimally-assumptive causal inference methods. His current research includes extending causal inference methods to account for neighborhood specific confounding effects in multilevel, high-dimensional data settings, examining the effect of acute community violence on perinatal outcomes, and utilizing machine learning to forecast fatal overdose at the neighborhood level. Prior to pursuing a PhD, John worked at the intersection of analytical chemistry, community health, and the overdose crisis at San Francisco AIDS Foundation and UC San Francisco. John holds an MS in Epidemiology from UC Berkeley and a BS in Chemistry magna cum laude from Haverford College. Outside of work, you will find John riding his bicycle, reading the newspaper, or watching his favorite soccer team lose again.
Job title:
Berkeley Computational Social Science Fellow
Department:
Epidemiology, Public Health, UC Berkeley
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