I am a first-year PhD student in computer science at the University of Toronto, supervised by Prof. Chris Maddison. Previously, I completed my MMath and BMath in computer science at the University of Waterloo, supervised by Prof. Pascal Poupart.

I am interested in improving the reasoning and inference abilities of intelligence agents. Some of my past work focused on designing self-supervised pre-training paradigms for reasoning, developing exact inference models with tractability guarantee and improving combinatorial solvers using Bayesian inference. I am also interested in representation learning and uncertainty quantification for neural networks.