About me
I am a researcher in statistics and machine learning in the MAGNET team of Inria Lille.
From June 2023 to July 2024, I was a postdoc in the ARGO team of Inria Paris and DI ENS (computer science department of Ecole Normale Supérieure), working with Kevin Scaman on the generalization properties of Federated Learning algorithms. I also worked in close collaboration with Aurélien Bellet, Marc Tommasi and Giovanni Neglia. Before that, I was a postdoc in the MAGNET team, working with Marc Tommasi, Aurélien Bellet and Anne-Marie Kermarrec (EPFL) on decentralized optimization.
In January 2021, I completed a PhD in applied mathematics at Centre Borelli, ENS Paris-Saclay, under the supervision of Prof. Nicolas Vayatis and Argyris Kalogeratos. Prior to my thesis, I obtained a master in mathematics, computer vision and machine learning (MVA) at ENS Paris-Saclay.
You can learn more about me on my CV.
Research interests
- Statistical Learning, High dimentional statistics
- Decentralized Optimization, Federated Learning
- Trustworthy ML
- Conformal Prediction
- Machine Learning with Graphs
- Privacy in Machine Learning
News
PhD position on Conformal Prediction and Physics-Informed ML here.PhD position on Private and Byzantine-Robust Federated Learning here.13-05-2024- Les BD du frangin, le restaurant de la mamma et les photos du beau-père.