I am currently studying Computer Engineering at the University of Toronto, with a focus on research at the frontier of physical AI. I am especially interested in combining world models and reinforcement learning to develop robust, generalizable policies for robots operating in the real world.

Previously, I researched time synchronization methods to improve SLAM on mobile devices at the University of Calgary. I am currently evaluating and training RL agents for high-frequency quantitative trading at Berkeley Street Capital, while also conducting research at STARS on how human-guided reinforcement learning can improve dexterous manipulation policies.

Outside of research and engineering, I enjoy running, playing sports, and photography.