B.S. Meteorology, Zhejiang University
Ph.D. Atmospheric Dynamics, Chinese Academy of Sciences

Dr. Liang develops high-resolution Earth System Model (EaSM) integrating climate, hydrology, air quality, water quality, crop, biosphere, and their interactions to study Earth’s climate variability, change, and environmental impacts. He is expanding the EaSM to incorporate interactive human dimensions and decision support systems, such as for agricultural, water resource, and public health management and strategic planning. He is applying the EaSM and machine learning ability along two streamlines: short-term climate prediction that supports actionable practices and real-time decisions for human-climate interactions, and climate change projection that addresses food-energy-water nexus, vulnerability, risk, and sustainability issues on decadal scales. He is leading a multi-institutional, transdisciplinary team project on improving agricultural water use and nutrient management to sustain food and energy crops production.