Corwin Zigler is Professor of Biostatistics at the Brown University School of Public Health. His research focuses on quantitative methodology for evaluating the health impacts of environmental and climate-related exposures. His statistical research falls mostly in the area of causal inference, with particular focus on spatially-indexed data, spatial confounding, interference networks, physical process modeling, and Bayesian methodology.
His work integrates statistical methodology, epidemiology, large-scale computation, and atmospheric science towards better understanding of how environmental and climate policies impact human health. His research has been funded by the National Institutes of Health, the Health Effects Institute, and the U.S. Environmental Protection Agency, and he has served on multiple specialty panels for the U.S. EPA Clean Air Scientific Advisory Committee.
Before arriving at Brown in 2024, Dr. Zigler served as faculty in the Department of Statistics and Data Sciences at the Unviersity of Texas at Austin and in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health. He completed his Ph.D. in Biostatistics at the University of California, Los Angeles in 2010.
