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Statistics, Causality, Environment

Xiao Wu

I am a Stanford Data Science Fellow, where I work with Professor Trevor Hastie in the Department of Statistics. My research interests lie in developing statistical and causal inference methods to address methodological needs in climate and health research. The key goal of my research is to provide scientific evidence on the health impacts of environmental factors in an age of rapidly changing climate.

Before coming to Stanford, I completed my Ph.D. training in the Department of Biostatistics at Harvard University, where I was advised by Dr. Francesca Dominici and Dr. Danielle Braun. My dissertation focuses on developing robust and interpretable causal inference methods to handle error-prone, continuous, and spatial-temporal exposures. I also worked on collaborative projects to design Bayesian clinical trials, meta-analyses, and real-world evidence studies.