Academic trajectory

Experience & education

Degrees, appointments and research visits — an academic timeline.

Appointments & visits

2019–2023 — Teaching appointment / PCC · École polytechnique, CMAP

Sept.–oct. 2015 — Visiting researcher · Georgia Institute of Technology, Atlanta

2009–present — Associate Professor of Applied Mathematics · Université Paris Dauphine–PSL, CEREMADE (CNRS UMR 7534)

2008–2009 — ATER · Université Paris Diderot, LPMA

Education

2008 — PhD in Statistics · Université Paris Diderot

2005 — Research Master’s in stochastic modelling and statistics · Université Paris Diderot

2004 — Maîtrise in Applied Mathematics · Université Pierre-et-Marie-Curie

Biography

My research began in nonparametric statistics, inverse problems and quantum tomography. It subsequently expanded to neural-network generalization, contrastive methods, clustering and robust distributed learning. My academic work connects foundational research, doctoral supervision, teaching and collaborations with institutional and industry partners.

Kabylie
Kabylie · personal photograph

My current research includes causal and counterfactual inference and a developing direction in adversarial machine learning, with attacks, defenses, data ownership verification and efficiency as research questions.