I am a CNRS researcher at the interface of mathematics and computer science. My current host lab is the Institut de Mathématiques de Bourgogne, located in the city of Dijon, France.

My research interests include optimization for (graph) signal processing and machine learning, algorithmic differentiation and the use of sparsity in these domains. I am currently PI of the ANR JCJC GraVa, dedicated to a subset of these research topics.

For a (mostly) complete list of my academic works, see the Publications page, for a CV-like, see the About page.

I am looking for a Ph.D. student to work on graph for machine learning!

Previously, I was a postdoc at CMAP, the applied math institute of École Polytechnique, under the supervision of Antonin Chambolle during the academic year 2014-2015. Before that, I did my PhD at CEREMADE (Univ. Paris-Dauphine) under the supervision of Gabriel Peyré.

Quentin Klopfenstein is my current PhD student (2018-2021?), co-supervised with Hervé Cardot.

Samuel Vaiter
Université de Bourgogne, Institut de Mathématiques de Bourgogne,
9 avenue Alain Savary, 21078 Dijon Cedex, France.
twitter: @vaiter