Welcome
About me
Since October 2025, I have been a postdoctoral researcher at the L2S research laboratory (CentraleSupélec, Université Paris-Saclay) .
My current work focuses on federated learning on covariance matrices with SPDNet and related Riemannian models, with applications to health data, in particular EEG signals.
Previously, I completed the Master’s program Statistics for Smart Data at ENSAI (Rennes) in order to strengthen my background in machine learning and computer science. This training allowed me to transition from my former position as a secondary school mathematics teacher back into academic research.
In 2022, I obtained my PhD from the University of Rennes for a thesis on the universality of the zeros of random functions. My PhD was supervised by Guillaume Poly and Jürgen Angst . The manuscript is available here .
My curriculum vitae can be found here in English and here in French.
