My research focus is on developing statistical methods to understand causality. Much of my work addresses treatment effect heterogeneity; for example, in the context of multi-site trials with non-compliance, randomized clinical studies with longitudinal effects, or observational studies with high-dimensional covariates. I care about driving practical impact, and have advanced causal inference methods for applications in education, mental health, public policy, and two-sided online market platforms.