Summary
Jade Benjamin-chung is an Assistant Professor at Stanford University who develops and evaluates scalable interventions addressing the interplay between infectious diseases, environmental factors, and health in resource-limited settings. With a PhD in Epidemiology and an MA in Biostatistics from UC Berkeley and nine years of experience, she combines epidemiologic fieldwork with computational and statistical methods, including causal inference and machine learning. Her work emphasizes vulnerable populations both domestically and internationally, translating rigorous methods into practical, policy-relevant solutions. Known for integrating diverse data streams and methodological approaches, she often focuses on the implementation challenges that determine whether interventions succeed at scale.
8 years of coding experience
PhD, Epidemiology, PhD, Epidemiology at University of California, Berkeley