Hi! I am a postdoctoral researcher with Toniann Pitassi and Richard Zemel at Columbia University, and also part of Simons Collaboration on the Theory of Algorithmic Fairness. Previously, I completed my Ph.D. in the Theory of Computation group at Harvard University, advised by Cynthia Dwork. I am also fortunate to work with David Parkes, Weijie Su, and James Zou on various projects.
My research investigates reliable and responsible machine learning for decision making and social problems, especially from a rigorous theoretical perspective. In particular, I develop formal frameworks to address algorithmic and societal challenges in modern data science by leveraging techniques in distribution-free uncertainty quantification, (multi-)calibration, and reinforcement learning.