Jiaqi Tong

Project Title: Partial Principal Ignorability (PPI) assumption with a novel odds ratio sensitivity parameter to point-identify PCEs.

Jiaqi Tong is a second-year Ph.D. student in the Department of Biostatistics at the Yale School of Public Health. His research leverages modern statistical tools, including causal machine learning and semiparametric inference, to tackle complex causal inference challenges in real-world settings, with a focus on applications in clinical trials. As a CERSI Scholar, his project focuses on developing novel machine learning methods to address intercurrent events under principal stratification.