Overview
My main research interest is causal inference and its applications to health, policy and social science. I also work on the interface between causal inference and machine learning. I have developed methods for propensity score, clinical trials, randomized experiments (e.g. A/B testing), difference-in-differences, regression discontinuity designs, representation learning. I also work on Bayesian analysis and statistical methods for missing data. I am serving as the editor for social science, biostatistics and policy for the journalĀ Annals of Applied Statistics.
Current Appointments & Affiliations
Professor of Statistical Science
·
2021 - Present
Statistical Science,
Trinity College of Arts & Sciences
Professor of Biostatistics & Bioinformatics
·
2021 - Present
Biostatistics & Bioinformatics, Division of Biostatistics,
Biostatistics & Bioinformatics
Education, Training & Certifications
Johns Hopkins University ·
2006
Ph.D.
Peking University (China) ·
2001
B.S.