Since 2022, I am a Senior Research Scientist at the Criteo AI Lab in Paris.
Previously, I was a Research Scientist at the Lagrange Mathematics and Computing Research Center of Huawei working with Alain Durmus and Eric Moulines.
I have been affiliated to the ORION-B project which gathers astrophysicists, data scientists and statisticians in order to better understand the formation of stars in our universe.
My current research interests lie in federated learning, privacy-preserving learning and data valuation.
During my journey at Huawei, I worked on distributed/federated Bayesian approaches and privacy-preserving machine learning. My Ph.D. works focused on deriving a broad approximate statistical framework and associated Monte Carlo sampling approaches by taking inspiration from the variable splitting method in optimisation (e.g., used by quadratic penalty approaches).
Awards & Distinctions
- Top Reviewer, AISTATS 2022
- Prix Léopold Escande, 2020
- Finalist, Best Student Paper Award, IEEE MLSP 2018
2023/05 New paper on dataset valuation using novel Shapley value estimators!
2023/01 New paper on federated learning with heterogeneous feature spaces!
2022/09 1 paper accepted at NeurIPS 2022!
2022/01 1 paper accepted at AISTATS 2022!