Zuchuan Li's research focuses on machine learning, Bayesian statistics, and their applications to environmental data science. Current research interests include scientific machine learning, Bayesian statistics, and their applications to constrain the mechanisms of aquatic carbon cycle and primary productivity. His research has been published in leading academic journals including Nature, Nature Communications, Nature Climate Change, and NeurIPS. He has been awarded the NASA Earth and space science fellowship and the WHOI postdoctoral scholarship. His teaching interests span data science, statistics, and machine learning. He holds a Ph.D. from Duke University.