Assistant professor at Institut Polytechnique / Télécom Paris, and member of LTCI. I completed my Ph.D at Paris-Saclay University under the supervision of Christophe Giraud and Nicolas Verzelen, and was a postdoctoral researcher at CREST-ENSAE, working with Cristina Butucea.
My research lies in mathematical statistics and learning, especially in high-dimensional statistics, network analysis and data privacy. Papers
- Minimax optimal seriation in polynomial time [ArXiv]
preprint , 2024
with C. Giraud and N. Verzelen - Pair Matching: Links Prediction with Adaptive Queries [ArXiv]
Mathematical Statistics and Learning, 2024
with C. Giraud, L. Lehéricy and M. Lerasle - Localization in 1D non-parametric latent space models from pairwise affinities [ArXiv]
Electronic Journal of Statistics, 2023
with C. Giraud and N. Verzelen - Locally differentially private estimation of nonlinear functionals of discrete distributions [ArXiv]
NeurIPS, 2021
with C. Butucea - On the estimation of network complexity: Dimension of Graphons [ArXiv]
Journal of Machine Learning Research, 2021
- Courses 2024-2025
- Measure & Probability Theory, Bs
- High-Dimensional Probability, Ms Stochastic modeling
- Data Privacy, as part of Recent Advances in Responsible AI, Ms Data science
- Tutorials 2024-2025
- Conditional Distributions, Ms
- Random Processes & Martingales, Ms
- Past courses / tutorials
- Probability Refresher, Ms Data science
- Asymptotic Statistics (course), Ms Stochastic modeling
- Markov Chains & Time Series (tutorials), Ms
