I am currently a Senior Applied Research Scientist at Mila-Quebec AI Institute. Previously, I was an IVADO Postdoctoral Research Fellow at Mila, where I worked with Liam Paull as part of the Montreal Robotics and Embodied AI Lab (REAL).

My long-term research goal is to contribute to the development of intelligent 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. My research interests include a broad range of topics such as probabilistic deep learning, few-shot learning, self-supervised learning, and continual learning with applications to computer vision problems. 

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Recent News

Nov 21, 2022

1 paper accepted to AAAI 2023.

Oct 31, 2022

I am starting a new position as a Senior Applied Research Scientist at Mila

Aug 27, 2022

Our work on Bayesian Embeddings for Few-Shot Open World Recognition has been accepted to appear in the IEEE Transactions on Pattern Analysis and Machine Intelligence.

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.


Research Highlights

Contact Me


Phone: +1(519) 5040469