Claire Robin

Doctoral Researcher
Department Biogeochemical Integration (BGI)
Research group Model-Data Integration
Intern. Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC)

Main Focus

My research focus on data-driven ecological modeling, with a keen interest in enhancing the understanding of ecological processes through interpretability and explicability methods. I mainly work on the EarthNet project (, which utilizes satellite data and machine learning methods to predict local vegetation evolution during extreme events such as heat waves and drought. This project contributes to understanding ecosystem responses to environmental changes and offers potential applications in anticipatory actions.

  • Machine learning
  • Data-driven ecological modeling

Curriculum Vitae

Currently: ELLIS Ph.D Candidate
Max Planck Insitute for Biogeochemistry | 2023 - now

MDLM international master - Machine Learning & Data Mining
Jean Monnet University, Saint-Etienne. France | 2020 - 2023

MPCI bachelor of science - Mathematics, Physics, Chemistry & Computer Science
Aix-Marseille University & Centrale Marseille School, France | 2017 - 2020

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