Research scientist at NaverLabs Europe within the Spatial AI team, developing new end-to-end algorithms for robotics.
PhD in Deep learning for physics simulation and control theory, background in electrical engineering and signal processing.
Teaching "Agregation" teacher in engineering and computer science. Assistant at Univ. Lyon and Polytech Lyon (and I enjoyed it very much!).
Guilty pleasure with overly animated slides, and fancy project pages...
My PhD defense was on the January 2024, and I went all-in with the animations and visualisations.
I've been invited to give a talk to the "Journée Deep Learning pour la Science" (JDLS) at CNRS in June 2025. Yet another occasion to make a fancy slidedeck.
A cool set of data visualisations to highlight our findings from our CVPR 2025 paper.
Uses ArXiv API to search for papers by authors !
Subject: Incorporation of physical prior knowledge in deep learning for forecasting and control
Advisors:
