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About me

I am a Neyman Visiting Assistant Professor in the Department of Statistics at UC Berkeley. Prior to that, I completed my PhD at CREST-ENSAE, under the supervision of Matthieu Lerasle and Jaouad Mourtada. I defended my Ph.D. on June 26, 2025. The manuscript can be found here.

I was also teaching coordinator at ENSAE for Statistics and Machine Learning courses during the academic year 2024-2025.

Research interests

Nonasymptotic statistics, statistical learning theory, empirical processes and concentration inequalities.

Publications

Papers
Finite-sample performance of the maximum likelihood estimator in logistic regression.
Hugo Chardon, Matthieu Lerasle, Jaouad Mourtada.
arXiv paper

Ph.D. dissertation
Finite-sample theory for maximum-likelihood estimation in logistic regression
manuscript

Recent talks

Probability Seminar, Department of Mathematics, UC Berkeley
Nonasymptotic phase transition in the logistic model UC Berkeley, November 2025.

Séminaire Parisien de Statistique, Institut Henri Poincaré (Paris Seminar of Statistics)
Finite sample performance of the maximum likelihood estimator in logistic regression, and fast rates for plug-in classification.
Paris, Institut Henri Poincaré, March 2025.

Reviewing service

I have served as a reviewer for The Annals of Statistics.