I am a second year Ph.D. student at MIT advised by Prof. Russ Tedrake. My current research focuses on two main directions: 1) Understanding and improving how different data sources can be used in robot imitation learning; and 2) algorithmic improvements for generative modeling in robotics. Prior to MIT, I worked on model-based control for contact-rich systems.
I completed my undergraduate degree at the University of Toronto where I worked with Prof. Andreas Moshovos. I also spent a formative summer at the University of Pennsylvania where I was advised by Prof. Michael Posa.
I am grateful to be funded by the NSF Graduate Research Fellowship and the NSERC Postgraduate Scholarship (Doctoral).
EECS Ph.D. Candidate, 2023-Present
MIT
B.Eng in Electrical Engineering, 2023
University of Toronto
IB Diploma, 2019
Colonel By Secondary School