Positions and Education

Since 2015, I am a junior (permanent) researcher at CNRS. My academic career and education is described below.

September 2021 – ongoing: CNRS researcher (Chargé de Recherche classe normale)
Laboratoire J.A. Dieudonné (LJAD, UMR 7351) – Centre National de la Recherche Scientifique

2021: Habilitation in Applied Mathematics
Université de Bourgogne – Dijon, France

Title: From optimization to algorithmic differentiation: a graph detour.
Defense: January 14th, 2021.
Referees: Alexandre d’Aspremont (rev.), Francis Bach, Martin Burger (rev.), Hervé Cardot, Marco Cuturi, Alexandre Gramfort, Jérôme Malick (rev.), Joseph Salmon.

October 2015 – August 2021: CNRS researcher (Chargé de Recherche classe normale)
Institut de Mathématiques de Bourgogne (IMB, UMR 5584) – Centre National de la Recherche Scientifique

October 2014 – September 2015: Post-doctoral researcher
Centre de Mathématiques Appliquée (CMAP, UMR 7641) – École Polytechnique

Supervisor : Antonin Chambolle
Research area : Optimization on GPU for denoising, debluring and related problems

2011–2014: PhD in Applied Mathematics
Université Paris-Dauphine – Paris, France

Title: Low Complexity Regularizations of Inverse Problems.
Advisor: Gabriel Peyré.
Defense: July 10th, 2014.
Jury: Francis Bach, Emmanuel Candès (rev.), Antonin Chambolle, Albert Cohen, Charles Dossal, Jalal Fadili, Rémi Gribonval (rev.), Gabriel Peyré (adv.), Vincent Rivoirard.

2011: MSc in Applied Mathematics
École Normale Supérieure de Cachan – Université Paris-Descartes – Paris, France

2008: BSc in Computer Science
École Normale Supérieure de Lyon – Université Claude Bernard – Lyon, France

Team

Current students

• Christian Daniele (2025-2028?), PhD student co-supervised with Luca Calatroni.
• Fares El Khoury (2024-2027?), PhD student co-supervised with Michael Arbel.
• Sophie Jaffard (2022-2025?), PhD student co-supervised with Patricia Reynaud-Bouret.

Alumni

• Matthieu Cordonnier (2021-2024), PhD student co-supervised with Nicolas Keriven and Nicolas Tremblay (now postdoc at RIKEN AIP).
• Mathieu Dagréou (2021-2024), PhD student co-supervised with Thomas Moreau and Pierre Ablin (now postdoc at Inria).
• Hashem Ghanem (2020-2023), PhD student co-supervised with Nicolas Keriven and Joseph Salmon (now at Expleo R&D).
• Quentin Klopfenstein (2018-2021), PhD student co-supervised with Hervé Cardot (now at Owkin).

Prizes

2017: Inform. Inf. prize by Institute of Mathematics and its Applications

2015: PhD thesis award (Prix Jeunes Chercheurs) by Fondation Dauphine

2015: PhD thesis award by Programme Gaspard Monge (PGMO), Fondation Hadamard

Editorial activities

Since 2024: Action Editor for the Transactions on Machine Learning Research (TMLR).

Since 2022: Area Chair for the Annual Conference on Neural Information Processing Systems (NeurIPS).

Since 2023: Area Chair for the International Conference on Machine Learning (ICML).

Since 2024: Area Chair for the International Conference on Learning Representations (ICLR).

2024: Area Chair for the International Conference on Artificial Intelligence and Statistics (AISTATS).

Grants

MAD (2025–2029)
Mathematics of Automatic Differentiation, role: PI
Funding: Agence nationale de la recherche - Projet de recherche collaborative , id: ANR-24-CE23-1529 (571 k€)

GraVa (2018–2024)
Variational Methods for Graph Signals, role: PI
Funding: Agence nationale de la recherche - Jeunes Chercheuses Jeunes Chercheurs , id: ANR-18-CE40-0005 (182 k€)

RAGA (2018–2021)
Régularisation sur Graphe, role: PI
Funding: ANER Région Bourgogne-Franche-Comté , id: ANER RAGA G048CVCRB-2018ZZ (34 k€)

DECONVIMMUNE (2018–2021)
Construction d’un nouveau modèle de déconvolution pour estimer les composants immunitaires cellulaires dans l’objectif d’une meilleure évaluation du pronostic des patients, role: Team leader
Funding: Plan Cancer INSERM , id: Plan Cancer 18CP134-00 (500 k€)

ABS (2017)
Accélération et réduction du biais pour les modèles structurés, role: PI
Funding: CNRS Défi InFIniti, Mission pour l’interdisciplinarité (5 k€)

Events

2024-12-16 (5 days): Conference IMS International Conference on Statistics and Data Science (ICSDS) at Université Côte d’Azur in Nice, France.
2024-09-23 (3 days): Workshop Learning and Optimization in Côte d’Azur at Université Côte d’Azur in Sophia-Antipolis, France.
2023-08-24 (1 day): Minisymposium ICIAM'23 Bilevel optimization in machine learning and imaging sciences at Waseda University in Tokyo, Japan.
2022-11-07 (5 days): Workshop Machine Learning and Signal Processing on Graphs at Centre International de Rencontres Mathématiques in Marseille, France.
2022-10-11 (4 days): Workshop Workshop GdR Mathematics of Optimization and Applications at Université Côte d’Azur in Nice, France.
2020-06-01 (5 days): Workshop Optimization & Control at Université de Bourgogne in Dijon, France (canceled due to COVID).
2020-03-09 (5 days): Workshop Optimization for Machine Learning at Centre International de Rencontres Mathématiques in Marseille, France.
2019-05-02 (2 days): Workshop Graph signals : learning and optimization perspectives at Université de Montpellier in Montpellier, France.
2018-08-29 (3 days): Conference Processus et Échantillonnage at Université de Bourgogne in Dijon, France.
2018-05-03 (1 day): Workshop Parcimonie et applications at Université de Bordeaux in Bordeaux, France.
2015-12-02 (3 days): Workshop Journées du GdR MOA 2015 at Université de Bourgogne in Dijon, France.

Services

2024-2028: Member (appointed) of the scientific council of Réseau Thématique MAIAGES (MAthématiques de l’Imagerie, Apprentissage et GEométrie Stochastique).
2023-2027: Member (appointed) of the Conseil national des universités 26 (Applied Math).
2023-2026: Member (elected) of the scientific council of SMAI-MODE group.
2023-2025: Member (appointed) of the scientific council of the Académie Systèmes Complexes.
2020-2021: Co-head of the Statistics, Probability, Optimization and Control team at IMB, Dijon, France.
2017-2021: Member (appointed) of lab council of IMB, Dijon, France.