CV

Positions

Education

Awards


Personal Awards:

  • (2020-2028) Chair holder at 3IA Côte d’Azur (axis Core Elements of AI).
  • (2018-2024) Inria Research and Doctoral Supervision Award (RIPEC).
  • (2018) Outstanding reviewer of the conference NeurIPS 2018.
  • (2015) Second position ex-aequo for the 2015 ERCIM Cor Baayen Award.
    Most promising European young researcher in computer science and applied mathematics*
  • (2011) Erbsmann Award Honorable Mention, Conference IPMI
    One of the most prestigious awards of the medical imaging community

As Research Director:

  • (2024) UNICANCER Innovation Award to projet Federated-PET
    Co-PI with Dr. O. Humbert, Hospital A. Lacassagne, Nice, France
  • (2022) Yann Fraboni (PhD). Best thesis award
    From Doctoral School STIC, Université Côte d’Azur
  • (2022) Yann Fraboni (PhD). Best paper award
    International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022.
  • (2021) Andrea Senacheribbe (MSc). Best Master Thesis Award
    From Politecnico di Torino
  • (2019) Sara Garbarino (Postdoc). Erbsmann award, Conference IPMI
    One of the most prestigious awards of the medical imaging community

Services to the Community


Conference Area Chair:

  • Neural Information Processing Systems (NeurIPS 2023, NeurIPS 2024)
  • Computer Vision and Pattern Recognition (CVPR 2021-2023-2024)
  • Medical Image Computing and Computer Assisted Intervention (MICCAI 2021-2022)

Editorial Activity:

  • Associate Editor of Medical Image Analysis (Elsevier) since 2021
  • Editorial Board Member of Scientific Reports (Nature Publishing Group) from 2014 to 2021
  • Member of the Board of Statisticians of the Journal of Alzheimer's Disease from 2017 to 2022

Organisation of Scientific Events (selection)

  • Organizing committee member of the 2023 edition of the IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena (Colombia). In charge of student events organization.
  • Organizing committee member of the 1st Colloque Français inter-3IA d’Intelligence Artificielle, 2023. 200 participants, 14 invited speakers. In charge of program definition and speaker invitation.
  • Co-chair of the 1st Tutorial on Trustworthy AI in medical imaging. Medical Image Computing and Computer Assisted Intervention conference, MICCAI 2022, Singapore.
  • Organizer of the Special Session “Security and Fairness in Collaborative Healthcare Data Analysis”, presented at the International Symposium of Biomedical Imaging (ISBI), 2021.
  • Organizer of a one-day hands-on session on the software Fed-BioMed to the Winter School AI4Health (HDH and 3IA) in 2021 and 2022, and to the Inria DFKI Summer School (2021).
  • Co-organiser of the Tutorial “Disease progression modeling with cross-sectional and longitudinal data”, presented at the International Conference Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021, and at at the International Symposium of Biomedical Imaging (ISBI) 2021.

Fundings


Research Area: Multi-modal biomedical data analysis & disease progression modeling

  • Michael J. Fox Foundation for Parkinson’s Research. Multimodal Dynamic Modelling and Prediction of Parkinsonian Symptom Progression. WP leader (2023-2027, 800k€, Inria funding: 200k€). PI Dr. B. Gutman (Illinois Institute of Technology, USA.)
    Disease progression modelling in Parkinson's Disease.
  • ANR. MITOMICS (2021-2025, 800kE, Inria funding: 200k€). WP leader for multi-omics analysis. PIs Prof. Vincent Procaccio (CHU Angers) and Sylvie Bannwarth (CHU Nice).
    Multi-omics analyses in rare disorders
  • Université Côte d’Azur. Project Meta-ImaGen (37k€). PI.
    Multi-centric brain image analysis in Alzheimer's disease
  • Departement des Alpes Maritimes (PACA). Project Big Data for brain research (70k€). PI.
    ` Large-scale imaging-genetics analysis in brain disorders.

Research Area: Multi-centric biomedical data analysis & federated learning

  • ANR. Operationalising federated learning for real-world biomedical applications (Fed-Ops) (2025-2029, 700k€, Inria funding: 300 k€). PI.
    ML-Ops for federated learning in healthcare
  • ANR. JCJC project Fed-BioMed (2019-2023, 200k€). PI.
    Federated learning for healthcare applications.
  • Franco-German bilateral program for AI. Project Trustworthy and Robust Artificial Intelligence (TRAIN) (2023-2027, 1.2M€, Inria funding: 350 k€). PI for the French consortium. German PI: Prof. Ghassan Karame (Ruhr-University Bochum). With EURECOM (France), Fraunhofer and Ruhr-University Bochum (Germany).
  • Institut National du Cancer (INCa). FEDERATED-PET (2022-2026, 1M€, Inria funding: 300k€). Co-PI with Prof. O. Humbert (Hospital Centre Antoine Lacassagne, France).
    French federated infrastructure for cancer image analysis.
  • Horizon Europe. European Cancer Imaging Initiative (EUCAIM) (2023-2027, 17M€, Inria funding: 200k€). WP participant with 76 clinical and research partners across Europe.
    Interoperability of federated learning platforms in a large network of European cancer hospitals.

Selection of invited talks


  • 2024. Keynote Speaker at the event Chirurgie 4.0 organised by the Académie Nationale de Chirurgie.
  • 2019. Lecture at the Colloque du Collège de France: L’imagerie médicale à l’heure de l’IA.
  • 2022. Invited Lecture at the MBZUAI Workshop on MBZUAI Workshop on Collaborative Learning (Abu Dhabi), organized by Prof. M. Jordan (UC Berkeley).
  • 2021. Invited speaker at the 3rd Federated Learning Workshop, Sorbonne University Paris, organized by Owkin, Accenture Labs, and the Société Française de Statistique (SFdS).
  • 2024. Keynote speaker at the 5th Progression over neurodegenerative disorders meeting (POND 2024) hosted at University College London (UK).
  • 2023. Invited speaker for the CVPR 2023 - 10th Workshop on Medical Computer Vision, Vancouver, Canada.
  • 2022. Invited Lecture at the Summer School on Biomedical Imaging, ETH Zurich and University of Zurich.
  • 2022. Invited Lecture at the webinar Quantim, of the group Méthodes Quantitatives et Traitement de l’Information Médicale, Inserm, Aix-Marseille Université.
  • 2021. Keynote speaker at IEEE EMBS Grand Challenges Forum on Data Science and Engineering in Healthcare.
  • 2021. Keynote at the MICCAI Workshop on Distributed And Collaborative Learning 2021.
  • 2020. Invited speaker at the European Glaucoma Society Congress 2020.
  • 2020. Invited lecture at Symposia Multi-view Methods for Imaging Genetics (OHBM conference 2020).
  • 2019. Invited lecture at Winter School on Imaging Genetics (University of Verona, Italy).
  • 2025. Invited Speaker at the Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM 2025).

Societes


I am member of the following societes:

  • Ellis Society
  • The Medical Image Computing and Computer Assisted Intervention Society