PhD student at IMAGINE - Ecole des Ponts ParisTech & valeo.ai, ENPC, 2022 - present
M2 in Applied Mathematics, Vision and Learning (Master MVA), ENS Paris-Saclay, 2021
Master’s Degree in Science and Executive engineering, Mines Paristech, 2021
Research Exchange Semester, Massachusetts Institute of Technology, 2018
Preparatory Class in Mathematics and Physics, Lycée Louis Pasteur, 2017
Work experience
2021-2022: Research scientist, valeo.ai, Paris, France
Research position before the start of a PhD, with focus on self-supervised representation learning for
point clouds.
Supervisor: Gilles Puy
2021: Intern, valeo.ai, Paris, France
Research focused on self-supervision for point clouds, using contrastive methods between camera
and LiDAR representations of a scene.
2020: Intern, IBM Research, Tokyo, Japan
Research among a team in IBM’s Tokyo Research Lab to study combination of
automatic planners with Deep Learning.
2020: Intern, Scio, London, United Kingdom
Start-up specialized in automatic data extraction from unformatted documents. Built text and layout
classifiers to improve parsing robustness. Carried out the transition from Keras to Pytorch for the
main code.