Curriculum


Education

2015 - 2019

Medicine studies

Université de Versailles St Quentin

France

PACES, 2nd, 3rd years of medicine school. Bachelor equivalence.

PACES in one year, rank : 70/699.

2019 - 2021

Master's degree in Bioinformatics

université de Rennes

France

Spe. IBI (Informatics & Integrative Biology).

Mention très bien. Rank 1/17.

2021 - 2024

Ph. D. in Computer Sciences

université de rennes

france

Topic: Explore and mitigate analytical variability in fMRI with representation learning.

Supervised by Dr. Camille Maumet and Pr. Elisa Fromont

Experience

  • 2024 - Present

    Postdoctoral researcher

    Universitätsklinikum Bonn

    Germany

    Improving security, fairness and affordability of AI for medical imaging to facilitate their integration in clinical settings, and to bridge the gap between low- and high-resource healthcare settings. Supervised by Pr. Shadi Albarqouni.

  • 2021 - 2024

    Doctorate researcher

    Université de Rennes

    France

    Learning meaningful representations of fMRI results to facilitate the re-use of data from public databases. Exploration of the fMRI analytical space: development of a multi-pipeline dataset, and evaluation of the relationships between different pipelines. Supervised by Dr. Camille Maumet & Pr. Elisa Fromont.

    2021 - 2024

    Doctorate researcher

  • Aug. 2023 - Nov. 2023

    Visiting researcher

    Concordia University

    Montreal, Canada

    Reproduction and exploration of workflow variations in a study on prediction of Parkinson’s disease progression using fMRI features. Supervised by Pr. JB Poline & Pr. Tristan Glatard

  • Jan. 2021 - Jul. 2021

    Master's degree internship

    Université de Rennes

    France

    Reproduction of fMRI pipelines used in NARPS (Project Narps Open Pipelines). Impact of the number of subjects on analytical variability. Supervised by Dr. Camille Maumet.

    Jan. 2021 - Jul. 2021

    Master's degree internship

  • Apr. 2020 - Jul. 2020

    Master's degree internship

    Centre d'Immunologie de Marseille-Luminy

    France

    Development of an R/Shiny interactive app to facilitate the analysis of histo-cytometry images. Supervised by Hugues Lelouard & Mathieu Fallet.

Teaching







Supervision