I am currently a brain resident at Google.
I graduated from the University of Toronto with a specialist in computer science and minors in mathematics and statistics. Broadly speaking, I am interested in almost all aspects of computational statistics and numerical optimization. In particular, I am most experienced with various aspects of Monte Carlo methods in machine learning, both applied and theoretical. I am also familar with niche topics such as numerical methods for ODEs, SDEs, and PDEs. Recently, I am also interested in computational neural science.
In a past life, I used to spend my free time working on traditional CS theory problems such as (discrete) algorithm design and analysis.
BSc in Computer Science, 2019
University of Toronto