I'm a third year PhD student at the University of Toronto and Vector Institute, supervised by Roger Grosse and Geoffrey Hinton.
I'm interested in understanding the computational mechanisms that give rise to intelligence. To this end, I'm currently working towards improving the generalization power and robustness of deep learning models, as well as understanding different generalization patterns that enable strong out-of-distribution performance. I'm also interested in developing techniques that'll let humans receive useful and verifiable information from powerful but untrustworthy agents by building verification at the heart of decision processes.
Engineering Science, University of Toronto; Bachelor of Applied Science and Engineering
- Specialized in Robotics.
- 3.98 CGPA, First in Graduating Class in Engineering Science, 2019.