I am currently a research fellow with the Causality program at the Simons Institute, UC Berkeley. I am co-organizing a reading group on algebraic aspects of graphical models.

I am also 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 work on statistical foundations of causal inference, including model selection, irregularity and partial identifiability. Recently, I have been working on the efficiency theory of causal graphical models.