Chao Cheng completed his PhD in Biostatistics at the Yale School of Public Health, and his current research focuses on three core areas: causal mediation analysis, quantile causal inference, and measurement error correction. Broadly, his work aims to enhance the robustness and efficiency of associational and causal effect estimation through semiparametric inference. Beyond his methodological expertise, he is also passionate about applying innovative statistical tools to address complex challenges in health science.