I am a doctoral student in the department of Electrical and Computer Engineering at the University of Waterloo, advised by professors Mark Crowley and Kate Larson. As part of my research, I actively collaborate with professor Pascal Poupart and professor Matthew E. Taylor. My primary research interest is in the area of multi-agent systems. I am interested in the issues of scale, non-stationarity, communication and sample complexity in multi-agent learning systems. As a consequence, my area of work is in the intersection of Reinforcement Learning and Game Theory. I am also highly interested in theoretical aspects of Reinforcement Learning. I have two important and related long term research goals. The first is to bridge the widening gap between the theoretical understanding and empirical advances of Multi-agent Reinforcement Learning. The second is to make multi-agent learning algorithms applicable to a variety of large-scale real-world problems. Before starting a PhD, I obtained a Master’s degree in the ECE department at the University of Waterloo, supervised by professor Mark Crowley. My bachelor's degree was in the field of Geomatics Engineering, from College of Engineering, Guindy, Chennai, India. During this time, I completed a Mitacs funded research internship in the Spatial Lab, under the supervision of Professor Colin Robertson in Wilfrid Laurier University. I have also worked as a research intern at Borealis AI - Edmonton and Waterloo labs. In general, my research is motivated by the field of Computational Sustainability. I am a part of the 2021 cohort of the Vector Postgraduate Affiliate program.