I am a research scientist at DeepMind, working on game theory, multiagent learning, and all things related. Previously, I received my Ph.D. while working in the Laboratory for Information and Decision Systems (LIDS) and Aerospace Controls Lab (ACL) at MIT, advised by Prof. Jonathan How. Before that, I received my B.A.Sc. in Engineering Science at the University of Toronto.
I am interested in game theory, multiagent coordination, reinforcement learning, hierarchical learning, and augmented reality applications. I am a strong believer that the intelligent agents of tomorrow must not only be proficient learners, but also capable collaborators and communicators. If you're interested in these topics, feel free to check out my Google Scholar page for more details: