August 15, 2023
Please join us in welcoming, Xinran Li, assistant professor in the Department of Statistics and the College. Xinran's research focuses mainly on developing novel methodologies for causal inference. He specializes in randomization-based inference for causal effects, sensitivity analysis for observational studies, experimental design such as rerandomization, and Bayesian inference.
