I am a third year PhD student at INRIA, at CMAP, Ecole Polytechnique, and at EDF R&D, Saclay.

I am supervised by Aymeric Dieuleveut from CMAP, Ecole Polytechnique, by Julie Josse, from INRIA, and by Olivier Féron (director of the FiME laboratory) and Yannig Goude from EDF.

My research project is on statistical learning methods for energy management. I am interested in predictive uncertainty quantification, especially with distribution-free finite-sample guarantees in a post-hoc setting. More specifically, in the context of time series or missing features.

  • Really enthusiastic that our tutorial’s proposition, Distribution-Free Predictive Uncertainty Quantification: Strengths and Limits of Conformal Prediction, with Aymeric Dieulveut, was accepted at UAI and ICML! Pick your favorite European destination for the summer and see you there :D
  • Super excited to announce that I have been named one of the Fondation L’Oréal-UNESCO 2023 French Young Talents, along with 34 amazing French women scientists at the doctoral or post-doctoral level!
  • Just released an introductive tutorial (slides) on Conformal Prediction! Going from the standard split mean-regression case towards beyond exchangeability, passing by conditional coverage, classification, and no (other) splitting strategies.
Upcoming events

June 13, 2024. I will give a talk at the LJK–DATA Seminar, in Grenoble. Many thanks for the invitation!

July 15, 2024. Giving a tutorial on conformal prediction with Aymeric Dieuleveut at UAI2024 in Barcelona!

July 22, 2024. Giving a tutorial on conformal prediction with Aymeric Dieuleveut at ICML2024 in Vienna!


I am the current president of the Young Statisticians Group of the French Statistical Society (SFdS).
We have organized the 11th Young Statisticians and Probabilists day. Thanks to all the speakers for the amazing talks! You can find the slides and their contact here (very soon).

Go give a glance at the research and activities of Aymeric Dieuleveut’s team, based at Ecole polytechnique.

Have also a look at the activities of our causal inference and missing values group at INRIA, led by Julie Josse, principal investigator of the PreMeDICaL team.

I served as a conference reviewer for AISTATS 2023 (10% top reviewer), for NeurIPS 2023 and as a journal reviewer for the Journal of Business and Economics Statistics and for the International Journal of Forecasting.

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