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.


  • 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


  • 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