I (almost) graduated from the University of Toronto with a specialist in CS and minors in Math and Stats. My research interests lie in the intersection of statistics, optimization, and machine learning. I am most interested in statistical foundations of modeling and inference. I am also interested in stochastic analysis and its connection to sampling and optimization.
During undergrad, I had the great fortune to work on research projects with Profs. David Duvenaud, Murat Erdogdu, and Roger Grosse. I am also excited about building better ML software. During summer 2018, I had the great fortune to intern at Google and work on the TensorFlow eager execution team.
BSc in Computer Science, 2019
University of Toronto