My main interest is in causal inference methodologies with applications in social sciences, biomedical sciences, and computer science. Motivated by real scientific or societal problems, my research topics include instrumental variable methods, algorithmic fairness, principle stratification, interference, and randomization-based analysis of experiments.

I am also interested in contaminated data problems including missing data, measurement error, and selection bias.