Dr. Shijie Jiang
ELLIS Unit Jena Research Group leader at the Max Planck Institute for Biogeochemistry Jena

Shijie is a group leader at the Max Planck Institute for Biogeochemistry, where he leads an ELLIS Unit Jena research group since 2023. His general research interests include the water cycle, hydrological extreme events, and their interactions with terrestrial ecosystems and climate systems. He specializes in developing knowledge-integrated machine intelligence systems that effectively incorporate diverse scientific knowledge and extensive Earth data into deep learning models for causal understanding. His current research explores (1) Methodologies of scientific machine learning, explainable AI, physics-AI hybrid systems, and causal inference; (2) Coupling and feedback mechanisms between the hydrological cycle and Earth system components; (3) Predictability, attribution, and impacts of extreme hydrological events; (4) Intelligent methods (such as data crowdsourcing, opportunistic sensing) for enhancing Earth system data.

Shijie received his Ph.D. from the National University of Singapore in 2021, where his research introduced computer vision, hybrid models, and explainable machine learning to hydrological monitoring, modeling, and understanding. As a postdoctoral researcher at the Helmholtz Centre for Environmental Research, he conducted investigations on climate features related to compound flood events. He has a solid publication record in Water Resources Research, Hydrology and Earth System Sciences, Geophysical Research Letters, and Journal of Hydrology. Several of his papers have been recognized as top downloaded articles by journals. Shijie also serves as a reviewer for these journals and is the convener of EGU sessions since 2022.

Phone: +49 3641 57-8901
Mail: sjiang@bgc-jena.mpg.de
List of Publications: Google Scholar