I am Professor at the Department of Statistical Science with a secondary appointment at the Department of Biostatistics and Bioinformatics, Duke University. My main research interest is causal inference, the interface between causal inference and machine learning, and their applications to health research and social sciences. I have developed methods for propensity score, clinical trials, power analysis, natural experiments such as difference-in-differences and regression discontinuity designs. I also work on methods for Bayesian analysis and missing data. Recently I have been exploring the use of agentic-AI on analyzing large registry and electronic health record data.