Rachel Nethery is an Associate Professor of Biostatistics at Harvard T.H. Chan School of Public Health. Her research primarily focuses on developing statistical methods that enable the rigorous and impactful use of data to answer critical questions in environmental and population health. Recent work includes the estimation of health impacts from environmental contaminant exposures and environmental policies, as well as studying the impacts of extreme weather exposures and natural disasters on health forecasting and health burdens associated with future extreme climate events. Nethery also works on identifying communities that are particularly vulnerable to health impacts from environmental and climate exposures, determining the features that drive this vulnerability, and conducting data-driven designs for environmental policies that minimize adverse health outcomes. Her methodological expertise spans areas such as causal inference, machine learning, Bayesian methods, latent variable models, spatial statistics, and time series analysis.
Harvard T.H. Chan School of Public Health • Boston, MA
Teaching and conducting research in Biostatistics.