My main focus includes the water cycle, hydrological extreme events, and their interactions with terrestrial ecosystems and climate systems. I specialize in the development of knowledge-integrated machine intelligence systems that effectively incorporate diverse scientific knowledge and extensive Earth data into deep learning models for causal understanding.
- Methodologies of scientific machine learning, explainable AI, physics-AI hybrid systems, and causal inference.
- Coupling and feedback mechanisms between the hydrological cycle and Earth system components.
- Predictability, attribution, and impacts of extreme hydrological events.
- Intelligent methods (such as data crowdsourcing, opportunistic sensing) for enhancing Earth system data.
2023 - ELLIS Unit Jena Group Leader at Max Planck Institute for Biogeochemistry
2021 - 2023 Postdoctoral researcher at Helmholtz Centre for Environmental Research
2016 - 2017 Research Assistant at Southern University of Science and Technology
2017 - 2021 Ph.D at National University of Singapore
2013 - 2016 M.Sc at Beijing Normal University
2009 - 2013 B.Sc at Wuhan University