I am a Research Scientist at Meta AI. I received my PhD in Computer Science from University of Toronto, where I was advised by Yang Xu.
My current research is focused on training Large Language Model (LLM)-based AI Agents on computing devices, by employing methods in reinforcement learning, world modeling, and multimodal reasoning. I also conduct research on the mechanistic interpretability and safety alignment of generative AI systems.
During my PhD, I studied automated understanding and generation of creative language use, and I was fortunate to intern at Meta FAIR and Google Research.
PhD in Computer Science
University of Toronto
MSc in Computer Science
University of Toronto
BSc in Computer Science and Statistics
McGill University