I am a research scientist who designs data-driven techniques for visual understanding at ONERA/DTIS, the French aerospace research centre.

My work is at the crossroads of statistics, machine learning, image processing and computer vision. I am interested in tackling practical problems that arise in multimedia, remote sensing and robotics.

Besides that, I teach Machine Learning and Computer Vision at Institut d’Optique Graduate School (Univ. Paris Saclay) and ENSTA ParisTech (Institut Polytechnique de Paris).

Previously, I did my PhD at with INRIA/Imedia team and University of Versailles, near Paris, France. I also spent some time at CNR / Istituto di Scienza e Tecnologie dell’Informazione (ISTI) in Pisa, Italy, at University of Bern / Institut für Informatik in Bern, Switzerland, and at ENS Paris Saclay (was Cachan) / Centre des Mathématiques et de Leurs Applications (CMLA) near Paris, France.

I used to teach regularly at University Paris Dauphine (Algorithms) and École Polytechnique (Computer Vision Lab), among other venues. I also gave tutorials on (Deep) Machine Learning at JURSE’2019 and IGARSS’2019.

I served as Chair of the IEEE GRSS Image Analysis and Data Fusion Technical Committee from 2017 to 2019, and previously as co-chair from 2015 to 2017. I was a co-organizer of the RFIAP’18/TerraData workshop and the CVPR’19/EarthVision workshop.