Associate professor at Institut Polytechnique de Paris, Télécom Paris. Member of LTCI lab. Ph.D in mathematics from Paris-Saclay University, advisors Christophe Giraud and Nicolas Verzelen. Postdoc at CREST-ENSAE with Cristina Butucea.
My research lies in mathematical statistics and learning, especially in high-dimensional statistics, network analysis and data privacy.
Papers
- Seriation on general matrices: Optimal rates with polynomial-time algortihm [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 - Inference on random networks [HAL]
PhD manuscript
Teaching
- At Télécom Paris
- Course: Asymptotic Statistics, Ms, 2022
- Course: Measure Theory & Probability Theory, Bs, 2022-now
- Course: High-Dimensional Probability & Applications in Data Science, Ms, 2023-now
- Tutorial: Conditional Distributions, Ms, 2022-now
- Tutorial: Random Processes & Martingales, Ms, 2022-now
- Tutorial: Markov Chains & Time Series, Ms, 2022
- At Institut Polytechnique de Paris
- Probability Refresher, M2 Data Science, 2022
- Data Privacy, part of the course Recent Advances in Responsible AI, M2DS, 2023-now