Corwin Zigler

Corwin Zigler is a Professor of Biostatistics at the Brown University School of Public Health. His research focuses on quantitative methodologies for evaluating health impacts of environmental and climate-related exposures, integrating statistical methods, epidemiology, and atmospheric science. He holds expertise in causal inference, Bayesian methods, spatial data analysis, and air pollution analysis. His work is funded by NIH, Health Effects Institute, and U.S. EPA. Previously, he was faculty at the University of Texas at Austin (Department of Statistics and Data Sciences) and Harvard T.H. Chan School of Public Health.

Education: PhD in Biostatistics from UCLA (2010).

Research Interests:

• Causal inference in complex observational settings
• Spatial confounding and interference networks
• Environmental policy impact assessment
• Large-scale computational methods for environmental data

Awards:

• Elected Fellow of the American Statistical Association (2023)
• Health Policy Statistics Section Mid-Career Achievement Award (2023)
• Rothman Epidemiology Prize (2019)
• ISBA Mitchell Prize Honorable Mention (2019)

Grants & Funding: Active funding from National Institutes of Health, Health Effects Institute, and U.S. Environmental Protection Agency. Served on U.S. EPA Clean Air Scientific Advisory Committee panels.

Labs/Teams: Collaborates across disciplines including engineering and computational sciences through Brown's Data Science Institute affiliation.