Hi! I’m a first-year computer science PhD student at Stanford University, where I work as a member of the Stanford Artificial Intelligence Laboratory. I’m advised by Chelsea Finn and Jiajun Wu and I’m affiliated with Stanford’s StatsML and SVL groups. My research and education is generously supported by the Stanford Graduate Fellowship.

I’m broadly interested in endowing robots with key qualities of intelligent behavior. Towards this end, I enjoy thinking about a diverse array of topics, including planning, synthesis, meta-learning, self-supervised learning, reinforcement learning, and Bayesian inference.

Previously, I majored in robotics as an Engineering Science undergraduate at the University of Toronto. During this time, I did research at the Vector Institute with Roger Grosse and Dan Roy. I’ve also spent time at Google Brain with Shane Gu, Berkeley AI Research with Sergey Levine, and the Max Planck Institute for Software Systems with Rupak Majumdar. My first research experiences were in optoelectronics and photonics under Joyce Poon at the University of Toronto and Ming C. Wu at UC Berkeley.