Ziren Jiang

Ph.D. Candidate in Biostatistics

University of Minnesota, Division of Biostatistics and Health Data Science

I am a Ph.D. candidate in Biostatistics at the University of Minnesota. My research interests span causal inference, functional data analysis, evidence synthesis, and Bayesian analysis. Within causal inference, I focus on estimating causal effects when the treatment or intervention of scientific interest is complex rather than simply binary — including continuous-valued, functional, and many-valued (vector-valued) treatments — with applications ranging from ventilator-induced lung injury to daily physical activity trajectory patterns. I also work on causal generalizability, particularly in the context of indirect treatment comparison (ITC). During my PhD studies, I have had the great fortune of being advised by Dr. Jared Huling, Dr. Haitao Chu, and Dr. Erjia Cui.