Antoine Collas

Postdoctoral Researcher in machine learning

MIND team, Inria Saclay, University Paris-Saclay
Mail: antoine.collas@inria.fr
You can reach me on Github, LinkedIn, and X.

Short Bio

Since November 2022, I am a postdoctoral researcher at Inria Saclay in the Mind team, supervised by Bertrand Thirion, Alexandre Gramfort and Rémi Flamary.

Previously, I did my PhD in the SONDRA laboratory at CentraleSupélec, University of Paris-Saclay. My supervisors were Jean-Philippe Ovarlez, Guillaume Ginolhac, Chengfang Ren, and Arnaud Breloy.

I previously graduated from the University of Technology of Compiègne with a major in Computer Science and a minor in Mathematical modeling.

My research focuses on statistics lying on Riemannian manifolds and their applications to machine learning and signal processing problems. I mainly work on remote sensing images (e.g., SAR and hyperspectral) and neuroimaging data (e.g., MEG, EEG and fMRI).

In 2022, I received the “Best student paper award” from the EUSIPCO conference for the paper “Robust Geometric Metric Learning”.

In parallel, I am a part-time lecturer at CentraleSupélec and University Paris-Saclay since 2020, teaching graduate-level applied mathematics, including optimization (convexity, duality, linear programming, …) and digital signal processing (Fourier analysis, linear regression, stochastic processes, statistical estimation, …).

My curriculum vitae - résumé - is available here: short version, long version (updated in August 2024).