I am Maître de Conférences at the Université de Paris Cité (formerly Université de Paris, or Paris-Diderot, or Paris-7), member of the Laboratoire de Probabilités, Statistique et Modélisation, in the Team Statistique, données, algorithmes.
Formerly, I used to be a postdoc researcher at the École Normale Supérieure (DMA), member of the NORIA (Numerical Optimal tRansport for ImAging) research group. Before that, I had a two-years postdoc position at the Laboratory for Computational and Statistical Learning, a joint lab between the IIT and MIT. Even before that I did a PhD in Optimization between the Université de Montpellier and the Universidad Santa Maria in Valparaiso, Chile.
My research essentially focuses on dynamical systems associated to optimization problems. In particular, I am interested in algorithms and regularization methods for nonsmooth (eventually nonconvex) problems arising in signal/image processing and machine learning. I am particularly interested in the interplay between the modelization of a learning/inverse problem as an optimization problem, and its resolution.
Our paper Thresholding gradient methods in Hilbert spaces: support identification and linear convergence, written with L. Rosasco and S. Villa, has been accepted in ESAIM: Control, Optimisation and Calculus of Variations. Preprint available on arXiv:1712.00357.
I did a presentation to a group of middle-schoolers about the recent success of AI, its limits and the societal challenges which awaits us. Slides available here (in French).
New Permanent Position
I joined the University Paris Diderot where I integrated the Laboratoire de Probabilités, Statistique et Modélisation as a Maître de Conférence.