Sriram is a Postdoctoral Fellow at the Vector Institute, Toronto. Previously, he completed a PhD and a Masters in the Department of Electrical and Computer Engineering at the University of Waterloo. His primary research interest is in the area of multi-agent reinforcement learning. Particularly he is interested in the problems of scale, non-stationarity, effective communication, and sample complexity in multi-agent learning systems. His long-term research vision is to make multi-agent learning algorithms applicable to a variety of large-scale real-world problems and to bridge the widening gap between the theoretical understanding and empirical advances of multi-agent reinforcement learning. As a consequence of his research interests, he frequently works on the broad areas (and the intersections) of Reinforcement Learning, Machine Learning, and Game Theory. Sriram’s research has been published in several top-tier multi-agent and AI venues such as AAAI, AAMAS and JAIR. Sriram has been a recipient of several prestigious fellowships such as the Waterloo AI scholarship, MITACS Globalink Research award, MITACS Graduate Fellowship, Pasupalak fellowship in AI, and Vector postgraduate research award.