Advisory Board

The board provides strategic guidance and interdisciplinary perspectives, ensuring that the project remains aligned with its long-term objectives, and fostering interdisciplinary collaboration. The board members are:

Foto of Ribana Rocher
Image: Ribana Rocher

Ribana Roscher

RibanaExternal link is a Professor of Data Science for Crop Systems at the University of Bonn and Forschungszentrum Jülich. Her research lies at the intersection of machine learning, remote sensing, and agricultural and environmental sciences. Ribana develops methods for interpretable, uncertainty-aware, and data-centric machine learning, with a focus on understanding plant processes and enabling scientific discovery from complex, often imperfect data. Her work addresses challenges such as learning under real-world conditions, dealing with sparse or noisy labels, and improving model explainability to support decision-making and gain new insights into crop and ecosystem dynamics.

Devis Tuia

DevisExternal link completed his PhD at the University of Lausanne, Switzerland, where he studied kernel methods for hyperspectral satellite data. He then travelled the world as a postdoc, first at the University of València, then at CU Boulder and finally back to EPFL. In 2014, he became assistant professor at the University of Zurich, and in 2017 he moved to Wageningen University in the Netherlands, where he was chair of the Geo-Information Science and Remote Sensing Laboratory. Since September 2020, he is Associate Professor at EPFL, where he leads the Environmental Computational Science and Earth Observation laboratory.

Jonas Peters

JonasExternal link is interested in using different types of data to predict the effect of interventions and to build statistical methods that are robust with respect to distributional shifts. He seeks to combine theory and methodology and tries to let real world applications guide his research. His work relates to areas such as causal inference, distribution generalization, dynamical systems, policy learning, graphical models, and independence testing. Since 2023, Jonas is professor in statistics at ETH Zurich. Previously, he has been a professor at the Department of Mathematical Sciences at the University of Copenhagen and a group leader at the Max-Planck-Institute for Intelligent Systems in Tuebingen. He studied Mathematics at the University of Heidelberg and the University of Cambridge and obtained his PhD jointly from MPI and ETH.

Gustau Camps-Valls

GustauExternal link is interested in developing AI methods to tackle relevant environmental and societal problems. From detecting and forecasting extreme events (like droughts, heatwaves and floods), to improve Earth models with AI emulation and novel parameterizations, as well as explaining complex systems like the interconnected Earth with hybrid models, causality and equation discovery. He is a physicist and Full Professor in Electrical Engineering at the Universitat de València, Spain, and leads the Image and Signal Processing (ISP) groupExternal link, an interdisciplinary team working at the intersection of AI, Earth observation, and climate sciences. More info hereExternal link.