Biography

Elodie is in the last year of her PhD at the University of Rennes, under the supervision of Dr. Camille Maumet from the Empenn research team and Prof. Elisa Fromont from the LACODAM research team. After four years of medicine school at the University of Versailles, she took a shift in her career and started a Master’s degree in bioinformatics at the University of Rennes.

Her research focuses on exploring and modelling analytical variability in functional MRI data analyses, particularly using deep representation learning. Her goal is to facilitate the re-use of data shared on public databases by taking into account the different sources of variability. In the future, she would like to focus more in the use of real-world data and on the robustness of machine learning models to privacy attacks.