Research focuses on understanding and predicting the key components, processes, and interactions of climate, water, and biosystems using novel earth predictions and observations, data analytics and artificial intelligence methods, and process-based simulations.

We focus on improving understanding and predictions of climate stressors and impacts spanning a range of space and time scales, with an ultimate goal to improve climate smart technologies and inform climate adaptations and decision making, such as sustainable water management, digital agriculture, and ecosystem restorations.

Subject Area

  • Agroclimatology
Past Affiliations

Postdoctoral Research Associate, Department of Civil and Environmental Engineering, School of Engineering and Applied Science, Princeton University (past)

Graduate Research Assistant, Agricultural and Biological Engineering Department, Institute of Food and Agricultural Sciences, College of Agricultural and Life Sciences, University of Florida (past)

Environmental Science, Agronomy, Engineering
PhD, University of Florida, Agricultural and Biological Engineering, 2014
MS, China University of Geosciences, China, Land Resources Management, 2010
BE, China University of Geosciences, China, Land Resources Management, 2005
geographic information systems climatology computer modeling machine learning hydrology earth remote sensing environmental sustainability statistics geospatial informatics agrometeorology
Chinese, English
American Geophysical Union
American Meteorological Society
American Society of Agricultural an Biological Engineers