Zach is a postdoctoral scholar in the Division of Biostatistics at the UC Berkeley School of Public Health working under Professors Alan Hubbard, Jack Colford, and Mark van der Laan. His work applies Targeted Machine 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. In addition, his research evaluates drivers of WASH intervention effectiveness and poor development for children in Bangladesh. He received his Ph....
Zeyi Wang, PhD is a postdoctoral scholar at Division of Biostatistics, University of California, Berkeley, working with Mark van der Laan and Maya Petersen. His research interests include methods development with targeted maximum likelihood estimation in causal inference, computerized efficient estimation, longitudinal and survival data analysis, as well as reproducibility and clinical trials with brain functional connectivity. He received his PhD in Biostatistics from Johns Hopkins Bloomberg School of Public Health.