I am a fourth-year PhD student at Harvard University advised by Prof. Milind Tambe. My current work focuses on Decision-Focused Learning, a paradigm for tailoring a predictive model for a downstream optimization task that uses its predictions.
Previously, I was Research Engineer at Singapore Management University (SMU) advised by Prof. Pradeep Varakantham where I used Reinforcement Learning to solve problems in Transportation and Security. I also spent a year at Microsoft Research India during which I worked on Information and Communications Technology for Development (ICTD) with Dr. Colin Scott and Dr. Bill Thies and Natural Language Processing with Dr. Sundararajan Sellamanickam.
Ph.D. in Computer Science, 2020 - Present
Harvard University
B.E. (Hons.) in Computer Science, 2017
Birla Institute of Technology and Science, Pilani
We propose an efficient way to implement decision-focused learning for the kinds of RMABs used for intervention planning in public health.
We propose two new innovations to help improve the learning of task-specific loss functions.
We propose a way to differentiate through MDP Planning for Restless Multi-Armed Bandits. We use this approach to better learn the Transition Matrices from “features” associated with different arms using Decision-Focused Learning.
We learn task-specific loss functions that, when trained on, allow a predictive model to make better predictions for the given task.
We learn how to price in ride-pooling (UberPool) while taking into account the matchings the pricing system induces.