I am a final-year undergrad at the University of Toronto. My research interests lie in the intersection of machine learning, Bayesian statistics, information theory, and optimization. I am most interested in statistical foundations for modeling and inference, focusing particularly on variational methods. More recently, I am also interested in the theory of dynamical systems and its connections to various Monte Carlo and optimization algorithms.
In the past, I was fortunate to work on research with Roger Grosse and David Duvenaud. I am also excited about building better machine learning software. In the past summer, I interned at Google and worked on TensorFlow eager execution.
BSc in Computer Science, 2019
University of Toronto