Biography

I am a postdoctoral associate at the Yale School of Public Health (YSPH), working with Professor Fan Li. I received my Ph.D. in Statistics from Purdue University, where I was co-advised by Professors Jordan Awan and Arman Sabbaghi.

My primary research centers around developing theory and methods for causal inference under complex data structures, with an emphasis on Bayesian nonparametric methodology. I am particularly interested in post-treatment confounding, mediation analysis, interference and spillovers, sequential treatments, time-to-event outcomes, and complex randomized experiments, including cluster-randomized and two-stage trials. During my Ph.D., I also worked on differential privacy, especially its interface with causal inference and the privacy–utility trade-offs in statistical modeling.