Experience
Education
Bio
I am a Research Scientist working at DeepMind in London. My work focuses on multi-agent systems, equilibrium problems, and game theory. In particular, I research natural mechanisms for emergent cooperation, no-regret learning in non-stationary and adversarial environments, and efficient algorithms for identifying fixed points. Before DeepMind, I was a PhD student at the College of Information and Computer Sciences at UMass Amherst where I worked with Sridhar Mahadevan as part of the Autonomous Learning Laboratory (ALL) on topics concerning optimization, equilibration, reinforcement learning, multi-agent systems, and dimensionality reduction. My thesis focused on identifying equilibria in differentiable games, specifically those that arise in machine learning applications.