I'm a researcher at the University of Toronto working with Prof. Ricardo Baptista on the mathematical foundations of contrastive learning. I'm interested in applied mathematics, statistics, and their overlap with deep learning.
I study mathematics and statistics within the Engineering Science program at the University of Toronto. I previously worked under Prof. Cheng at Rotman researching multi-agent reinforcement learning (MARL) applications in financial markets, and under Yuqiu Zhang and Prof. Hans-Arno Jacobsen researching data processing engines. I'm currently working on extracting physics-informed latents from binary black hole mergers, and investigating conservation laws in financial networks with fractional PDEs. You can read about my work here.
Outside of my studies and research, I am split between greying my parents' hair on a mountaineering adventure and holding forth as an armchair expert on art and history. Before committing my mind to mathematical academia, I studied linguistics and art. You can find recounts of my foolish risk-taking, my short essays, and more here.