#+title: Samuel Vaiter
#+description: CNRS researcher, mathematics of machine learning
#+date: 2026-10-22
#+status: finished
#+layout: home

I am a CNRS researcher at the [[https://math.univ-cotedazur.fr][Laboratoire J. A. Dieudonné]] in Nice, working on the mathematical foundations of machine learning.

My current projects include bilevel optimization, automatic differentiation, and the theory of AI alignment.
I have also worked on graph machine learning, optimal transport, proximal methods, and convex optimization for inverse problems.
I teach at [[https://univ-cotedazur.fr][Université Côte d'Azur]] and [[https://www.polytechnique.edu][École Polytechnique]], and hold a chair at [[https://3ia.univ-cotedazur.eu][3IA Côte d'Azur]].

I received my PhD from Université Paris-Dauphine in 2014 under the supervision of [[https://www.gpeyre.com][Gabriel Peyré]], and was a postdoc at École Polytechnique with [[https://www.ceremade.dauphine.fr/~chambolle/][Antonin Chambolle]].
I joined CNRS as a junior researcher in 2015, first in Dijon and since 2021 in Nice, and was promoted senior researcher in 2025.

Have a look at my [[/about/][CV]], my [[/publications/][publications]], my [[/talks/][talks]] and my [[/teaching/][teaching materials]].
Various other material (notes, tools, small projects) is listed on the [[/map/][map]] of the site.