🌟 I am starting as an Assistant Professor in Computer Science at University of Toronto in July 2019.
I am currently a senior research scientist at Nvidia in ML and Robotics.
I am also a postdoc at Stanford AI Lab working with Fei-Fei Li and Silvio Savarese at Stanford AI Lab.
I lead the Stanford People, AI and Robotics (PAIR) research in the Vision & Learning group.
My current research focuses on machine learning algorithms for perception and control in robotics. I develop algorithmic methods to enable efficient robot learning for long-term sequential tasks through Generalizable Autonomy. The principal focus of my research is to understand representations and algorithms to enable the efficiency and generality of learning for interaction in autonomous agents.
Research Interests: Robotics, Reinforcement Learning, Computer Vision and Optimal Control. I work on applications of autonomous manipulation in surgical, personal and warehouse robotics.
I received MS in Computer Science and Ph.D. in Operations Research from the UC, Berkeley in 2016. I was advised by Ken Goldberg in the Automation Lab as a part of the Berkeley AI Research Lab (BAIR). I also worked closely with Pieter Abbeel, Alper Atamturk and UCSF Radiation Oncology.
I am accepting new students at all levels. Thanks for your interest in my group. However, kindly do not contact me directly with regard to MS or PhD admissions. Please read this before contacting me and apply accordingly:
3 papers accepted at IROS 2019
ICRA 2019 Paper wins Best Paper Award 🏆
3 new papers submitted to IROS 2019
Paper accepted at CVPR 2019 as Oral! 🏆🎙️
2 Papers accepted at ICRA 2019