I am an first-year Ph.D. student at UChicago Data Science Institute (DSI) working with Prof. Nikolaos Ignatiadis. Previously, I finished my M.S. in Statistics under the supervision of Prof. Daniel Sanz-Alonso. I am also a part of the AER Lab at Brown under the mentorship of Prof. Sebastian Musslick.

My research interests seek to answer two questions: (1) how to leverage probablistic thinking, e.g. prior knowledge and decision theory, to build more robust and versatile machine learning models (Probablistic ML)? (2) how do we allow efficient and accurate inferences on model predictions when faced with large-scale real world data (Prediction-Powered Inference)?

Even earlier, I graduated from UC Berkeley with double majors in Stat & CS.