About me

I am an associate professor at Télécom Paris within the Institut Polytechnique de Paris. I received my Ph.D in mathematics from Paris-Saclay University, where I was fortunate to be advised by Prof. Christophe Giraud and Nicolas Verzelen. I then had the opportunity to work with Prof. Cristina Butucea at CREST-ENSAE.

My research interests lie in statistical machine learning, especially in network analysis, non-parametric statistics and data privacy.

Papers

  • Pair Matching: Links Prediction with Adaptive Queries. with C. Giraud, L. Lehéricy and M. Lerasle. [ArXiv]
  • Localization in 1D non-parametric latent space models from pairwise affinities. with C. Giraud and N. Verzelen. in revision for Electronic Journal of Statistics, 2022, [ArXiv]
  • Locally differentially private estimation of nonlinear functionals of discrete distributions. with C. Butucea. NeurIPS, 2021, [ArXiv]
  • On the estimation of network complexity: Dimension of Graphons. Journal of Machine Learning Research, 2021, [ArXiv]
  • Inference on random networks. PhD manuscript. [HAL]

Teaching 1st semester 2022-2023

  • Courses
    • Asymptotic Statistics, Ms, Télécom Paris
    • Probability, Bs, Télécom Paris
  • Tutorials
    • Probability Refresher, M2 Data Science, Ecole Polytechnique Ensta Ensae Télécom Paris
    • Probability Mathematical Statistics and Hilbert Spaces, Ms, Télécom Paris
    • Martingales, Ms, Télécom Paris