I am a CNRS research associate (CR2) in Applied Mathematics at IMB (Université de Bourgogne, France). My current research interests focus on variational regularization in signal and image processing, convex analysis, sparsity and risk estimation.
Together with A. Chambolle and P. Tan, we extended recent results by Antonin and T. Pock on the acceleration of alternating minimization techniques for quadratic plus nons-mooth objectives depending on two variables, with an emphasis on the strongly convex case. The paper is available at Accelerated Alternating Descent Methods for Dykstra-like problems.
Together with C. Deledalle, N. Papadakis and J. Salmon, we proposed a new framework to remove parts of the systematic errors affecting popular restoration algorithms. This work is available at the following link CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration.
Our paper The Degrees of Freedom of Partly Smooth Regularizers has been accepted for publication in Annals of the Institute of Statistical Mathematics (AISM).
I received one of the two PGMO PhD award for my thesis. This award is delivered by Programme Gaspard Monge pour l’optimisation et la recherche opérationnelle.