Wei Xiong is an interdisciplinary researcher focusing on the interactions between agricultural production and environment, with specific experiences in climate change and agriculture, development of agricultural system modeling tools, evaluation of climate-smart agriculture, and Genotype by Environment Interaction analysis.
Xiong is good at using cutting-edge technologies (such as cloud computing, machine learning, big data, HPC, and bioinformatics) in G×E×M interaction analysis, with a track record of improving short- and long-term agricultural forecast models at the local, national, and global scales. He is also interested in smart agriculture, agricultural AI, and innovative predictive approaches from genomics to phenomics.
