Hi! I’m an incoming PhD student in computer science at Stanford University, where I’ll work as a member of the Stanford Artificial Intelligence Laboratory. My research and education will be generously supported by the Stanford Graduate Fellowship. In the meantime, I’m spending the summer as a research intern at Google Brain with Shane Gu.
I’m broadly interested in endowing robots with key qualities of intelligent behavior. Towards this end, I’ve explored topics such as controller synthesis, meta-learning, unsupervised 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 Berkeley AI Research with Sergey Levine and Chelsea Finn, as well as at 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.
BASc in Engineering Science, 2020
University of Toronto