I am a postdoctoral research fellow in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, working with Dr. Francesca Dominici. The aim of my current research is to develop statistical methods to estimate the causal effects of environmental exposures on health. In particular, my methodological work is motivated by the following three questions:
(1) How can we estimate the health impacts of complex, nationwide environmental regulations that affect exposure to multiple pollutants/contaminants and are implemented gradually over long periods of time?
(2) How can we best conduct causal inference when data exhibit confounder/propensity score non-overlap?
(3) How can we integrate causal inference principles and methods into epidemiological cancer cluster analyses?
Beyond causal inference, my methodological research interests include machine learning, Bayesian methods, latent variable models, spatial statistics, and time series analysis. I have applied these methods to investigate scientific questions not only in environmental health contexts but also in reproductive epidemiology, neuroimaging, social science, and cell biology.
Ph.D., Biostatistics, University of North Carolina at Chapel HIll, 2017.
A.B., Mathematics and Government, Georgetown University, 2012.