Zach Butzin-Dozier


Zach is a Ph.D. candidate in Epidemiology at the UC Berkeley School of Public Health working under Professors Jack Colford and Alan Hubbard. His research primarily focuses on innovative design and analysis methods for randomized controlled trials in low and middle-income countries. His recent work applies Targeted Learning methodology to COVID-19 data, explores methods of synthetic data creation to improve data sharing and collaboration, and evaluates the relationships between maternal milk composition and child growth and development.

Research interests: 
Targeted learning, synthetic data, adaptive trial design, optimal treatment regimes, child development, stress neurobiology, and antimicrobial resistance