CV
Positions
- Current: Research Scientist. Epione Research Group, Centre Inria d’Université Côte d’Azur, France
- Visiting Senior Lecturer. King’s College London, UK
- University College London, UK — Honorary Research Associate
- Visiting Research Associate. Imaging Genetics Center, University Southern California, CA, USA
- Research Associate. University College London, UK
- Research Engineer. Inria, France
- Researcher. IRCCS Fatebenefratelli, Brescia, Italy
Education
- Habilitation à Diriger des Recherches. Université Côte d’Azur, 2020
- Ph.D in Signal and Image Processing. Université de Nice, 2012
- M.S. in Mathematics. Università degli studi di Torino, 2006
- B.S. in Mathematics. Università degli studi di Torino, 2004
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 project 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. MICCAI 2022, Singapore.
- Organizer of the Special Session “Security and Fairness in Collaborative Healthcare Data Analysis”, ISBI 2021.
- Organizer of a one-day hands-on session on the software Fed-BioMed at the Winter School AI4Health (HDH and 3IA) in 2021 and 2022, and at the Inria DFKI Summer School (2021).
- Co-organiser of the Tutorial “Disease progression modeling with cross-sectional and longitudinal data”, MICCAI 2021 and ISBI 2021.
Fundings
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, 800k€, 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.
Multi-centric biomedical data analysis & federated learning
- ANR. Operationalising federated learning for real-world biomedical applications (Fed-Ops) (2025–2029, 700k€, Inria funding: 300k€). 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: 350k€). 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
- Invited Speaker at the Colloque Français d’Intelligence Artificielle en Imagerie Biomédicale (IABM 2025).
- Keynote Speaker at the event Chirurgie 4.0 organised by the Académie Nationale de Chirurgie.
- Keynote speaker at the 5th Progression over neurodegenerative disorders meeting (POND 2024), University College London (UK).
- Invited speaker at CVPR 2023 — 10th Workshop on Medical Computer Vision, Vancouver, Canada.
- Invited Lecture at the MBZUAI Workshop on Collaborative Learning (Abu Dhabi), organized by Prof. M. Jordan (UC Berkeley).
- Invited Lecture at the Summer School on Biomedical Imaging, ETH Zurich and University of Zurich.
- Invited Lecture at the webinar Quantim, Méthodes Quantitatives et Traitement de l’Information Médicale, Inserm, Aix-Marseille Université.
- Invited speaker at the 3rd Federated Learning Workshop, Sorbonne University Paris, organized by Owkin, Accenture Labs, and the Société Française de Statistique (SFdS).
- Keynote speaker at IEEE EMBS Grand Challenges Forum on Data Science and Engineering in Healthcare.
- Keynote at the MICCAI Workshop on Distributed And Collaborative Learning 2021.
- Invited speaker at the European Glaucoma Society Congress 2020.
- Invited lecture at Symposia Multi-view Methods for Imaging Genetics (OHBM 2020).
- Lecture at the Colloque du Collège de France: L’imagerie médicale à l’heure de l’IA.
- Invited lecture at Winter School on Imaging Genetics (University of Verona, Italy).
Societies
I am member of the following societies:
- Ellis Society
- The Medical Image Computing and Computer Assisted Intervention Society
