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My long-term goal is to build robots that continually use knowledge gained during their lifespan to improve their performance and learn new tasks with human-like efficiency. As such, I work at the intersection of machine learning, robotics, and computer vision to develop intelligent robot systems with theoretically-founded lifelong learning capabilities.

Currently, I am a PhD candidate at the University of Toronto Institute for Aerospace Studies (UTIAS). I work under the supervision of Professor Steven Waslander as a part of the Toronto Robotics and Artificial Intelligence Laboratory(TRAIL).

Recent News

Jun 7, 2021

I have been selected to the Robotics Science and Systems pioneers cohort of 2021, a group of 30 leading senior PhD students and postdocs in the field. 

May 20, 2021

I have been acknowledged as an Outstanding Reviewer by CVPR 2021 organizers.

Mar 2, 2021

1 paper accepted to CVPR 2021 (Oral Presentation).

Jan 13, 2021

1 paper accepted to ICLR 2021.

Dec 2, 2020

Our survey paper on probablistic object detection is now on arXiv. Code for surveyed methods is available here.

Feb 1, 2020

1 paper accepted to ICRA 2020.

Nov 9, 2019

Presented my talk on how to evaluate predictive uncertainty estimates in deep object detectors at IROS 2019.

Sep 2, 2018

Joined the University of Toronto as a full time Ph.D. Student.

Aug 2, 2018

Presented my talk on future challenges in 3D object detection for autonomous driving at the Toronto Machine Learning Summit. 

Jun 14, 2018

Presented my talk on 3D object detection for autonomous driving at the Vector Institute Endless Summer School.


Research Highlights

Contact Me


Phone: +1(519) 5040469