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My long-term research goal is to develop robust, lifelong learning robots that can perform effectively with uncertain and limited knowledge of the world, be easily deployed in new environments, and require minimal human intervention during their operation. As such, I work at the intersection of robotics, machine learning, and computer vision to develop robot learning systems that model and handle the uncertainty in their belief space while continuously learning new tasks from a few labeled examples.

I am currently an IVADO Postdoctoral Research Fellow at Mila-Quebec AI Institute. I am part of the Montreal Robotics and Embodied AI Lab (REAL) working with Professor Liam Paull.

Recent News

Nov 23, 2021

I have recieved the 2021 G. N. Patterson Student Award, awarded to the most outstanding Ph.D. candidate to graduate from UTIAS during the year of 2021.

Nov 1, 2021

I will be serving as a General Chair for the RSS Pioneers workshop 2022.

Jul 19, 2021

Our survey paper on probablistic object detection has been accepted to appear in the IEEE Transactions on Intelligent Transportation Systems. Code for surveyed methods is available here.

Jun 30, 2021

I began my new position as an  IVADO Postdoctoral Research Fellow at Mila-Quebec AI Institute.

Jun 17, 2021

I have successfully defended my Ph.D. thesis. Link to dissertation manuscript.

Jun 7, 2021

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.


Research Highlights

Contact Me


Phone: +1(519) 5040469