Experience

  1. ML Research Intern

    BMI Lab
    6 months internship on self-supervised learning for patient in the intensive care unit. Following that internship, I started a PhD in the lab on the same topic.
  2. ML Research Intern

    Imagia
    End of master internship on interpretability in machine learning. Lead to my first publication at MICCAI’s interpretability workshop on concept activation vectors.

Education

  1. PhD Machine Learning (Ongoing)

    ETH Zürich
  2. MD Applied Mathematics (MVA)

    ENS Paris Saclay
  3. Engineering Degree

    Télécom Paris
Skills & Hobbies
Languages
100%
French
95%
English
20%
German