Paper OpenLex3D accepted to NeuRIPS 2025; paper StepMix accepted in the Journal of Statistical Software; paper ConceptGraphs accepted to ICRA 2024; paper One-4-All accepted to IROS 2023; paper GRAE accepted in the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI); paper Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers accepted for poster presentation at CRV 2019; awarded NSERC PGS D Scholarship; awarded FRQNT Doctoral Scholarship; awarded IVADO MSc Excellence Scholarship; awarded FRQNT B1X Scholarship.
Research Experience
Interned at Samsung's SAIT AI Lab, working with Alexia Jolicoeur-Martin and Sébastien Lachapelle on latent action modeling for robot policies; interned at Nokia Bell Labs, working with Dan Kushnir on multimodal 3D representations and LLMs for robotics; participated in the ETH Robotics Summer School, working on an autonomous rough-terrain UGV for search and rescue operations; organized the 2023 Mila Robotics Summer School; TA for STT3795 - Theoretical Foundations of Data Science.
Education
PhD in Machine Learning at Université de Montréal and Mila, advised by Guy Wolf (RAFALES lab) and Liam Paull (REAL lab), started in September 2022; Research MSc in Machine Learning at Université de Montréal and Mila, advised by Guy Wolf, started in September 2021.
Background
PhD student in Machine Learning at Université de Montréal and Mila, primarily researching scene representations for embodied AI and robot learning. Previously interned at Samsung's SAIT AI Lab (SAIL) and Nokia Bell Labs.
Miscellany
Interests include participating in academic conferences, workshops, and summer schools.