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PhD Student
Electrical and Computer Engineering
The University of Texas at Austin

I explore problems at the intersection of game theory, machine learning, and optimization. I am particularly interested in developing rigorous theoretical frameworks for problems that are inspired by real-world challenges. My work to date has found applications in adversarial learning, multi-task learning and multi-agent planning/learning problems with heterogenous agent information.

I am advised by David Fridovich-Keil and Ufuk Topcu. Before coming to UT Austin, I did my undergrad at Indian Institute of Technology Delhi (IIT Delhi), where I explored topics in game theory, public policy and deep learning.