Briefly

I am currently a postdoc in the PreMeDICaL team led by Julie Josse at Inria. My research lies in mathematical statistics with a focus on problems arising from causal inference, survival analysis, and their applications to medical data. I'm also interested in geometric inference and unsupervised learning.

Before that, I was a postdoc at the University of Potsdam in the team of Alexandra Carpentier. I did my PhD at Université Paris-Dauphine under the supervision of Marc Hoffmann. My PhD manuscript is available [here].

You can find additional details in [my CV] (April 2025).

Publications and Preprints

You can find all my articles on Google Scholar or arXiv.

  1. Causal survival analysis and estimation of the average treatment effect: practical recommendations (2025), with Charlotte Voinot, Imke Mayer, Bernard Sebastien and Julie Josse. In revision. [arXiv]
  2. Predictable recovery rates in near-surface materials after earthquake damage (2025), with Luc Illien, Jens Martin Turowski, Christoph Sens-Schönfelder and Niels Hovius. Nature Communications. [journal, arXiv]
  3. Learning with Hidden Factorial Structure (2024), with Charles Arnal, Simon Rosenberg and Vivien Cabannes. In revision. [arXiv]
  4. Estimating a density near an unknown manifold: a Bayesian nonparametric approach (2024), with Paul Rosa and Judith Rousseau. Annals of Statistics. [journal, arXiv]
  5. Seriation of Tœplitz and latent position matrices (2024), with Alexandra Carpentier and Nicolas Verzelen. In revision. [arXiv]
  6. A theory of stratification learning (2024), with Eddie Aamari. In revision. [arXiv]
  7. Theoretical Foundations of Ordinal Multidimensional Scaling, Including Internal and External Unfolding (2023), with Ery Arias-Castro and Daniel Kane. In revision. [arXiv]
  8. Optimal Reach Estimation and Metric Learning (2023), with Eddie Aamari and Clément Levrard. Annals of Statistics. [journal, arXiv]
  9. From Graph Centrality to Data Depth (2021), with Eddie Aamari and Ery Arias-Castro. ALEA. [journal, arXiv]
  10. Estimating the Reach of a Manifold via its Convexity Defect Function (2022), with John Harvey, Marc Hoffmann and Krishnan Shankar. Discrete & Computational Geometry. [journal, arXiv]
  11. Density Estimation on an Unknown Submanifold (2021), with Marc Hoffmann. Electronic Journal of Statistics. [journal, arXiv]
  12. Some Random Paths with Angle Constraints (2021), with Ery Arias-Castro. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques. [journal, arXiv]

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