Antonin Chambolle

Antonin Chambolle is a CNRS research director whose work connects image processing, mathematical optimization and AI. After studying at École Normale Supérieure, he earned a PhD at Université Paris-Dauphine in 1993 and published image-processing research at ICCV in 1994. He led the applied mathematics center at École Polytechnique, coauthored a 2016 tutorial on continuous optimization for imaging, and received the Michel Monpetit-INRIA Prize in 2021. He coordinates PDE-AI, which applies mathematical analysis, optimal control and optimal transport to machine learning, and is a CNRS research director at CEREMADE as of October 2026.

Now at: Université Paris Dauphine-PSL and CNRS
Works: 302
Citations: 17,727
h-index: 53
Badges: Wayfarer
Loyal

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

1993

A PhD at Dauphine

He studies at École Normale Supérieure in Paris and earns a PhD from Université Paris-Dauphine in 1993 under Jean-Michel Morel.
1994

PDEs and image processing

He publishes “Partial Differential Equations and Image Processing” in the International Conference on Computer Vision proceedings in Austin, Texas, in 1994.
2003–2020

CMAP member and director

He is a member of CMAP at École Polytechnique from 2003 to 2020 and directs the centre from 2009 to 2015. In 2015–2016, he is a French Government Fellow at Churchill College, Cambridge, and works with Cambridge Image Analysis at DAMTP.
2016

Optimization for imaging

With Thomas Pock, he coauthors a tutorial on continuous optimization for imaging in Acta Numerica in 2016. It emphasizes first-order methods for large-scale, non-smooth imaging problems.
September 2020

Joining CEREMADE

In September 2020, he joins CEREMADE at Dauphine–PSL and serves as deputy mathematics representative to the SDOSE doctoral school.
2021

The Michel Monpetit-INRIA Prize

He receives the Michel Monpetit-INRIA Prize from the French Academy of Science in 2021.
2023

Coordinating PDE-AI

He coordinates PDE-AI, a project launched in 2023 that applies mathematical analysis, optimal control and optimal transport to machine learning.
As of October 2026

CNRS research at CEREMADE

As of October 2026, he is a CNRS research director and member of CEREMADE at Dauphine–PSL, where he works on numerical analysis and optimization for non-smooth problems.