I am an Assistant Professor of Computer Science at University of Toronto and a Faculty Member at the Vector Institute. I direct the UofT People, AI and Robotics (PAIR) group. I am affiliated with Mechanical and Industrial Engineering (courtesy) and UofT Robotics Institute. I am also a Sr. Research Scientist at Nvidia.
I earned M.S. in Computer Science and Ph.D. in Operations Research from UC, Berkeley. I worked with Ken Goldberg at Berkeley AI Research (BAIR). I also worked closely with Pieter Abbeel, Alper Atamturk & UCSF Radiation Oncology. I was later a postdoc at Stanford AI Lab with Fei-Fei Li and Silvio Savarese.
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 & Optimal Control, Computer Vision
Current Applications: Mobile-Manipulation in Retail/Warehouse, personal, and surgical robotics.
MIT Deep Learning Seminar highlighting recent work (January 2020)
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 Graduate Admissions.
Please see the opportunities on lab website and contact me accordingly.
|Jun 1, 2020||Two new papers accepted at ICML 2020!|
|May 16, 2020||Invited Symposium Speaker at CRV 2020|
|May 15, 2020||New paper on Online Meta-Learning accepted at UAI 2020!|
|Mar 5, 2020||Organizing RSS workshop on Action Representation Learning|
|Mar 5, 2020||Organizing RSS workshop on Visual Learning and Reasoning for Robotics|
|Jan 31, 2020||Four new papers accepted at ICRA and RA-L!|
|Jan 15, 2020||Organizing ICLR workshop on Neural ODEs in Physical Sciences|
|Dec 10, 2019||Awarded with CIFAR AI Chair 2019|