About Me

Hello! I am a PhD candidate at Stanford University in the Department of Epidemiology and Population Health under the mentorship of Dr. Jade Benjamin-Chung. My research is in infectious disease epidemiology, and my dissertation focuses on assessing the effects of malaria interventions on child growth using causal mediation techniques. I am grateful to be funded by the National Institute of Allergy and Infectious Diseases (via an F31 award) and the Stanford Data Science Scholars program.

I received my MPH in Epidemiology and Biostatistics and my BA in Public Health and Data Science from the University of California, Berkeley. During my time at Cal, I taught in the Division of Computing, Data Science, and Society and designed human-centered health technologies as part of the Fung Fellowship.

I previously worked as a data scientist at Interwell Health (formally Cricket Health), where I contributed to predictive models that project the risk of chronic kidney disease in large, diverse patient populations.