I am a brain resident at Google Toronto.
I am broadly interested in computational statistics and optimization, with a focus on methods that interact with machine learning. I seek to ground my research in Monte Carlo methods for simulation and numerical methods for optimization. Recently, I am also interested in deep learning theory. My long term goal is to develop and improve techniques for efficient learning and bridge the gap between theory and practice.
I maintain a research blog here.
BSc in CS, Math & Stats, 2019
University of Toronto