Department of Statistics
405 Evans Hall
University of California, Berkeley
My vision is to develop statistical models that are flexible enough to account for recent advances in machine learning while benefiting from causality for better interpretation and robustness. My research spans two directions: causal inference for extremes and distribution generalization from a causal perspective.
Previously, I was a postdoctoral researcher @ Copenhagen Causality Lab, University of Copenhagen, working with Jonas Peters and Niklas Pfister. I obtained a PhD supervised by Sebastian Engelke @ Research Center for Statistics, University of Geneva, and a master’s thesis in Statistics supervised by Nicolai Meinshausen @ Seminar for Statistics, ETH Zurich.
Keywords: causal inference, distribution generalization, extreme value theory.