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I completed my PhD at UC San Diego, where I was advised Prof. Manmohan Chandraker.
Prior to that, I obtained my Master's degree at the Robotics Institute, Carnegie Mellon University, working with Prof. Abhinav Gupta and Dr. Daniel Huber.Â
My research is motivated by the goal of developing a mathematical construct of the intelligent agent from first principles. My recent work has primarily focused on answering the question "What is a good representation of states and goals in decision-making problems?" I explored this problem under three different learning paradigms: reinforcement learning, imitation learning, and unsupervised learning.
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