CV

Experience

Education

  • 2022 - present

    Nijmegen

    PhD
    Radboud University Medical Center
    Applied Mathematics
    • Combining weakly supervised learning with NLP in computational pathology.
    • Foundation Model team lead.
    • Advisors: Pr. Geert Litjens, Pr. Jeroen van der Laak.
  • 2020 - 2021

    Paris

    MSc
    ENS Paris-Saclay
    Applied Mathematics
    • Mathematics, Computer Vision, Statistical Learning (MVA).
  • 2017 - 2021

    Paris

    MSc
    École Nationale des Ponts et Chaussées
    Applied Mathematics and Computer Science
    • Specialisation in machine learning.

Skills

Deep Learning: Vision Transformers, Self-supervised Learning, Weakly Supervised Learning, Foundation Models
Programming: Python, Git, Docker, SLURM

Languages

French (Native)  ·  Italian (Native)  ·  English (Fluent)