AI4Forest is coordinated by a distinguished team of scientists from leading French and German research institutions. Their expertise spans climate science, remote sensing, artificial intelligence, optimization, and forest ecosystem dynamics. Together, they guide the strategic direction of the project, ensuring scientific excellence and effective integration of interdisciplinary approaches for advancing forest monitoring at global scale.
Philippe Ciais is Research Director at LSCE, specializing in quantifying the global carbon cycle and forest–climate interactions using atmospheric measurements and satellite data.
Alexandre d'Aspremont is CNRS Research Director at ENS, focused on convex optimization and its applications in machine learning, statistics, and Earth observation.
Fabian Gieseke leads the Machine Learning & Data Engineering group at the University of Münster, developing scalable AI methods for high-performance satellite data analysis.
Sebastian Pokutta is Vice President of Zuse Institute Berlin and Professor at TU Berlin, researching scalable optimization and AI algorithms for complex systems.
Cornelius Senf heads the Remote Sensing Group at TUM, advancing spaceborne monitoring techniques to map and analyze forest disturbances.