Dr. Shijie Jiang
ELLIS Unit Jena Research Group leader at the Max Planck Institute for Biogeochemistry Jena
Group: Machine Learning for Hydrological and Earth Systems (ML4HES) group

Shijie leads the Machine Learning for Hydrological and Earth Systems (ML4HES) group at the Max Planck Institute for Biogeochemistry and the ELLIS Unit Jena. His research focuses on understanding coupled water, energy, and carbon dynamics across hydrological, ecological, and climate systems. By integrating remote sensing, in-situ observations, and domain knowledge with hybrid and explainable machine learning methods, his work aims to identify key drivers, interpret system feedbacks, and improve process representation under environmental change. Shijie’s research covers land–atmosphere interactions, soil–plant–atmosphere processes, and watershed hydro-biogeochemistry, with a focus on applying knowledge-integrated AI to link observations with underlying processes. Since 2025, he has served as an Associate Editor for Water Resources Research and has convened EGU and AGU sessions on machine learning in Earth sciences since 2023.

Mail: sjiang@bgc-jena.mpg.de
Publications: Google Scholar
Official Website: https://www.bgc-jena.mpg.de/person/129942/2206