I am a rising senior at the University of Toronto. I spent my first two undergrad years dabbling in algorithm design and theory. Lately, I was converted to Bayesian statistics and machine learning. I was extremely fortunate to have worked on research with David Duvenaud and Roger Grosse.
In general, I am interested in the Bayesian approach towards probabilistic modelling. On the other hand, I am also very excited about building better open-source tools to ease and accelerate research. During the past summer, I was fortunate enough to have worked on the TensorFlow eager team at Google Mountain View.
BSc in Computer Science, 2019 (expected)
University of Toronto
Software Engineering Intern, 2018