Claire Robin

Claire Robin is a Doctoral Researcher at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Integration (BGI). She is an ELLIS Ph.D. Candidate since 2023 and part of the Project Group EarthNet and Research Group Model-Data Integration. Her work focuses on data-driven ecological modeling, leveraging satellite data and machine learning to predict vegetation responses to extreme events like heat waves and droughts.

• MDLM International Master’s in Machine Learning & Data Mining (2020–2023), Jean Monnet University, Saint-Etienne, France
• Bachelor of Science in Mathematics, Physics, Chemistry & Computer Science (2017–2020), Aix-Marseille University & Centrale Marseille School, France

Her research emphasizes enhancing ecological process understanding through interpretability methods, contributing to ecosystem resilience studies and anticipatory environmental management. She is based at the Max Planck Institute for Biogeochemistry in Jena, Germany.

Claire’s affiliations include the International Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC) and her involvement in the EarthNet project (https://www.earthnet.tech/), which explores predictive modeling for vegetation dynamics under climate stressors.