I am a visiting faculty at Toyota Technological Institute at Chicago (TTIC). I recently completed my postdoctoral stinct at Microsoft Research New York City. Before that I was a Ph.D. student at the department of Computer Science, Indian Institute of Science, Bangalore, advised by Aditya Gopalan and Chiranjib Bhattacharyya. I was fortunate to intern at Microsoft Research, Bangalore, Inria, Paris, and Google AI, Mountain View.

Research interests: Bandits, Reinforcement Learning, Optimization, Learning theory, Algorithms.

My current research focuses on developing large-scale robust algorithms for sequential decision-making tasks under restricted feedback, for example, preference information, click data, proxy rewards, partial ranking, etc. Some of my other recent ventures also include handling non-stationarity in contextual environments, differential privacy, multiplayer games, online convex optimization. Broadly, I am fascinated by the scopes of learning from unconventional partial monitoring feedback and the gaps between theory and practice.

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Selected Papers: