Anqi Zhao

Anqi Zhao is an Assistant Professor in the Decision Sciences area at Duke University's Fuqua School of Business. Her research interests include experimental design, causal inference, survey sampling, and missing data, with applications to social, biomedical, and business sciences. She received her Ph.D. in Statistics from Harvard University and previously worked at McKinsey and the National University of Singapore before joining Duke's faculty.

Anqi Zhao is an Assistant Professor at Duke University, specializing in causal inference and experimental design. Her research focuses on developing statistical methods for causal inference in randomized experiments, particularly addressing challenges such as missing covariates, missing outcomes, and complex experimental designs like split-plot and factorial experiments. She has contributed to the theory and application of covariate adjustment, rerandomization, and design-based causal inference. Her work also explores the intersection of causal inference with high-dimensional data and instrumental variables. Zhao's research has been published in top-tier journals and has influenced both theoretical and applied statistics.