I recently completed my PhD in Robotics Institute, School of Computer Science, Carnegie Mellon University, advised by J. Andrew Bagnell. I also got invaluable advice from Geoff Gordon and Byron Boots. I will be a post-doc researacher at Microsoft Research NYC starting July 2019, and then assistant professor in the CS department at Cornell University starting Aug 2020.

I am generally interested in fundamental and applied research in machine learning, artificial intelligence, and robotics, with a focus on sequential decision making, Reinforcement Learning, and Imitation Learning. Much of my recent research is about designing algorithms for efficient sequential decision making, understanding exploration and exploitation tradeoff, and understanding how to leverage expert demonstrations to overcome exploration.

My PhD thesis on Imitation Learning & Reinforcement Learning [pdf]