Awarded the L’Oréal-UNESCO Young Talents award for her doctoral work.
Research Experience
Currently a Postdoc at ISTA (Vienna) working with Christoph Lampert and Marco Mondelli on Trustworthy Machine Learning. Previously, she worked on Differential Privacy for Decentralized Learning in the Magnet team.
Education
PhD from Inria/Université de Lille (2021-2024), supervised by Aurélien Bellet; MSc MVA from PSL/ENS Paris-Saclay (2019-2020); MA LOPHISC from Sorbonne University (2019-2021); MSc Civil Engineer from Mines de Paris (2020-2021); Normalienne at ENS Lyon (2017-2021).
Background
Research interests include privacy in ML, federated and decentralized ML, and trustworthy ML. Her work particularly focuses on privacy, fairness, accountability, and regulatory issues. She is also interested in philosophy and science popularization.
Miscellany
Passionate about promoting women in STEM, particularly involved in organizing EGMO 2026.