I am currently at ENS Paris working with with Gabriel Peyré. I obtained my Ph.D from Université de Bordeaux, co-supervised by Nicolas Papadakis and Arthur Leclaire. My research interests include image inverse problems, generative modeling, optimization. The main objective of my PhD was to develop inovative deep denoising priors along with convergent optimization schemes for solving image inverse problems. I am also one of the main developer of the Python library DeepInv, which provides a unified framework for solving inverse problems using deep neural networks.
PhD in Machine Learning & Image Processing
University of Bordeaux, France
Master "Mathematiques, Vision, Appentissage" (MVA)
Ecole Normale Superieure Paris-Saclay
Bachelor in Mathematics
Ecole Normale Superieure Paris-Saclay