Dr. Shijie Jiang

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.

Research interests

• 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.