Associate professor (aka maître de conférence) 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

Teaching at Institut Polytechnique/Télécom Paris

  • Courses
    • Measure & Probability Theory, Bs
    • High-Dimensional Probability, Ms Stochastic modeling
    • Data Privacy, as part of Recent Advances in Responsible AI, Ms Data science
  • Tutorials
    • Conditional Distributions, Ms
    • Random Processes & Martingales, Ms
  • Past
    • Probability Refresher, Ms Data science
    • Asymptotic Statistics (course), Ms Stochastic modeling
    • Markov Chains & Time Series (tutorials), Ms