I am a Research Associate at the Statistical Laboratory of University of Cambridge, mentored by Prof. Rajen Shah.

I recently completed my PhD in Statistics from University of Washington, Seattle. I work on problems related to causal inference. My PhD advisor is Thomas S. Richardson. My doctoral thesis is on Likelihood analysis of causal models.

I am interested in addressing various statistical challenges posed by causal inference, such as inference under non-standard asymptotics, finite sample, irregularity, and partial identifiability. Recently, I have been working on the efficiency theory of causal graphical models. I am also interested in approaches that enhance efficiency and interpretability, such as Bayes and empirical Bayes.

Previously, I studied computer science at Duke and MIT.