I’m a senior scientist specialising in data-driven methods for visual understanding — particularly in the context of our planet (AI for Earth). Over time, I developed a strong interest in strategic planning and now serve as a policy officer for Green Transition (Destination Earth) and AI applications with DG Connect at the European Commission. Previously, I have been with the Image-Vision-Learning team at ONERA and the Φ-lab at ESA/ESRIN.

My research & innovation work has been for long at the crossroads of statistics, machine learning, image processing, computer vision, and quantum computing. I am interested in tackling practical problems that arise in Earth observation and Earth sciences, to bring solutions to current environment and society challenges. For recent works, check my latest publications, my last research topics, or some resources on learning beyond labels.

I am a seasoned speaker in events related to AI, Earth observation, or Quantum Computing (talk list) as well as organiser of workshops and events (including CVPR / Earth Vision workshop series, NeurIPS workshops on Weather Forecast or AI for Disaster Response, ESA / ECMWF workshops on Machine Learning for Earth System Observation and Prediction, and the Dagstuhl Seminar ‘Space and Artificial Intelligence’ — see below for full list).

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. I have been an associate editor of the Geoscience and Remote Sensing Letters (GRSL) (2018-2024) and guest editor of several special issues mostly in IEEE journals.

I am/was a co-organizer of:

• the Big Data from Space (BiDS) 2025 conference,
• the Dagstuhl seminar on “Space and Artificial Intelligence” in November 2023,
• the Big Data from Space (BiDS) 2023 conference,
• the AI for Humanitarian Assistance and Disaster Response Workshop (AI+HADR) 2023 workshop at ICCV’2023,
• the ESA 6th Quantum Technology Conference in 2023,
• the Earth Vision workshop series, computer vision meets Earth observation: CVPR’19/EarthVision workshop’19, CVPR’20/EarthVision workshop’20, CVPR’2021/EarthVision’21 workshop, CVPR’2022/EarthVision’22 workshop, and CVPR’2023/EarthVision’23 workshop,
• the NeurIPS 2022 competition Weather4Cast on forecasting rain events from satellite data.
• the ESA - ECMWF workshops on Machine Learning for Earth System Observation and Prediction, 2020 edition, 2021 edition, and 2022 edition,
• the ICIP 2022 Grand Challenge Hyperview on Seeing beyond the visible: Estimating soil parameters from hyperspectral images,
• the IEEE GRSS Data Fusion Contest 2022,
• the ESA 5th Quantum Technology Conference in 2021,
• The ECML/PKDD Discovery Challenge Mysteries of the Mayas for cultural heritage with remote sensing,
• the 2nd conference on “Space and AI” co-located with ECML-PKDD’21 with CLAIRE AI society,
• the ESA - ELLIS society 2021 Workshop on Quantum Algorithms and Machine Learning for Huge Data Analysis, Simulation and Potential Earth Observation Applications,
• the IEEE GRSS Data Fusion Contests in 2016 (results), 2017 (results), 2018 (results), 2019 (results).
• the RFIAP’18/TerraData workshop,

I have been guest editor for:

• 2023/2025 Springer Neural Computing and Applications for the topical issue on AI for space: theories, models and applications
• 2021/2022 J. of Selected Topics in Applied Earth Observation and Remote Sensing (JSTARS) for the special issue about “Quantum resources for Earth Observation”
• 2019/2020 J. of Selected Topics in Applied Earth Observation and Remote Sensing (JSTARS) for the special issue about “Computer Vision-based Approaches for Earth Observation”
• 2018/2019 Geoscience and Remote Sensing Letters special stream on Advanced Processing for Multimodal Optical Remote Sensing Imagery.