I am a research scientist who designs data-driven techniques for visual understanding at ESA/ESRIN and more precisely in the Φ-lab, which explores innovative technologies to accelerate and transform Earth observation.

My work is at the crossroads of statistics, machine learning, image processing, computer vision, and now quantum computing. I am interested in tackling practical problems that arise in Earth observation, to bring solutions to current environment and population challenges.

I am an Associate Editor of the Geoscience and Remote Sensing Letters. I co-organise the CVPR Earth Vision worskhop series (current edition: CVPR’2023/EarthVision’23 workshop) and the ESA-ECMWF Machine Learning for Earth System Observation and Prediction workshop series (last year’s edition: ML4ESOP’2022).

In earlier times, 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). From 2008 to 2020, I was a research scientist at ONERA, the French aerospace laboratory, near Paris, France, developing machine learning and computer vision for multimedia, robotics and Earth observation. In 2019, I obtained my Habilitation (HDR) from University Paris-Saclay.

I used to teach regularly at University Paris Dauphine (Algorithms, from 2001 to 2003) and École Polytechnique (Computer Vision Lab, from 2011 to 2017), among other venues. From 2016 to 2020, I taught Machine Learning and Computer Vision at Institut d’Optique Graduate School (Univ. Paris Saclay) and ENSTA ParisTech (Institut Polytechnique de Paris). I also gave tutorials on (Deep) Machine Learning at JURSE’2019 and IGARSS’2019, and continual formation including on-line courses at EuroSDR / Eduserv.

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. One of our main activities was to organize the Data Fusion Contest, an annual competition for multimodal Earth observation.

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