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About me

I am a Neyman Fellow in the Department of Statistics at UC Berkeley. Prior to that, I completed my Ph.D. 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.

Seminar

I will be co-organizing the Neyman seminar (UCB Department of Statistics weekly seminar) during the academic year 2026-2027 with Jingfeng Wu.

Research interests

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

Publications

Papers

Beyond Modern Asymptotics for Log-Likelihood Ratios in Logistic Regression.
Hugo Chardon, Reese Pathak, Nikita Zhivotovskiy.
arXiv paper

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 Hal version

Recent talks

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

Reviewing service

I have served as a reviewer for Annals of Statistics.