Research interests

My research activities mainly concern the study of inverse problems involving image data

Methodologies: plug and play, optimal transportation, variational methods, machine learning, data assimilation

Applications: medical imaging, computer vision, computational photography, oceanography

Resume

I received the M. Eng degree in applied mathematics from the National Institute of Applied Sciences, Rouen, France, in 2004 and the M. Sc in Analysis from Rouen University in 2004. I obtained the Ph.D. degree in applied mathematics from the University of Rennes, France, in 2007, under the supervision of Étienne Mémin in the Inria team Vista at IRISA, with long stays at the Laboratorio de Fluiodinámica de Buenos Aires, Argentina in 2006 and 2007. From 2008 to 2010, I had a postdoctoral position in Barcelona Media, Spain, under the supervision of Vicent Caselles. I joined the CNRS (section 07) as a full researcher in 2010 in the Inria team MOISE (now AIRSEA team) at the Laboratoire Jean Kuntzmann, Grenoble, France. Since 2013, I work in the Institut de Mathématiques de Bordeaux, affiliated to IOP and CSM teams. I realized long stays in the Cambridge Image Analysis group at the Department of Applied Mathematics and Theoretical Physics of the University of Cambridge, UK, in 2018-2019. Since 2023, I am a member of the Inria team MONC.

PhD supervision

PostDocs

Engineer

  • Julie Lesthelle (2026, Univ. Bordeaux, co-supervision with C. Etchegaray and S. Duchesne): Les études en licence de mathématiques sous le prisme du genre : Undergraduate Mathematics Studies through a Gender Lens: Constructing a Masculine Environment and the Experiences of Women as a Minority

Recent responsabilities

  • Head of the Inria Project-Team MONC (since sept. 2024)
  • Deputy director of the Institut de Mathématiques de Bordeaux, in charge of societal challenges (since 2023)
  • Direction team of the Research Network MAIAGES - MAthématiques de l’Imagerie, Apprentissage et GEométrie Stochastique (2024-205)
  • Direction, with Julie Delon, of the Research Network MIA - Mathématiques de l’Imagerie et de ses Applications (2022-2023)
  • Member of the French National Research Agency committee for Artificial Intelligence (2020-2022)

Last projects

  • RALMI (2026) : Recherche Action pour une Licence de Mathématiques plus Inclusive
  • ANR OPLA (2026 - 2030): Optimal MR Protocol for the monitoring of SVD patients at Low mAgnetic field
  • BPI ConeBEAM AI (2025 - 2029): dental CBCT recontruction
  • PEPR PDE AI (2023 - 2028): Partial Differential Equations for Artificial Intelligence: numerical analysis, optimal control and optimal transport
  • ANR Holibrain (2023 - 2028): Holistic Brain Analysis
  • ANR PostProdLEAP (2019- 2024): rethinking archive PostProduction with Learning, vAriational, and Patch-based methods
  • H2020 NoMADS (2018 - 2024): Nonlocal Methods for Arbitrary Data Sources
  • ANR GOTMI (2016 - 2021): Generalized Optimal Transport Models for Image processing

Organization of scientific events

Recent talks