I am a third-year undergrad at the University of Toronto. I spent my first two undergrad years mostly dabbling in algorithms and theory, until lately I was converted to Bayesian machine learning. I was very fortunate to have worked on research with David Duvenaud and Roger Grosse.
In general, I am interested in approximate inference and generative models. My short term research goal is to help improve the practicality of Bayesian approaches. On the other hand, I am also very excited about building better open-source tools to ease and accelerate machine learning research.
BSc in Computer Science, 2019 (expected)
University of Toronto
Software Engineering Intern, 2018