His research program focuses on methodological questions about the causal inference with experimental and quasi-experimental designs, including propensity score matching designs, interrupted time series designs, and regression discontinuity designs. He regularly applies these designs and corresponding analyses to educational data, either in the context of methodological within-study comparisons or in collaboration with substantive researchers evaluating educational interventions. His work is regularly published in well-known journals (e.g., Journal of the American Statistical Association, Psychological Methods, Journal of Educational and Behavioral Statistics).