Yujie graduated from the University of Utah in 2019, started his postdoctoral career in the California Institute of Technology in 2020, and was appointed as a research scientist in 2022. He came back to USTC in early 2025 and is now a professor in the department of Atmosphere Science and Global Climate Change. His work includes unveiling the dynamics of drought-induced xylem cavitation, developing stomatal optimization models, developing the Emerald model (formally CliMA Land), and developing and maintaining the GriddingMachine.jl software and database.

Yujie’s research interests include plant eco-physiology, vegetation modeling, and land surface modeling, with a primary focus on understanding plants’ responses and acclimations to global climate change and improving the predictive skills of the Earth system models in carbon, water, and energy budgets.

Learn how to run the Emerald model at various scales from the leaf level to global scales, spanning from leaf optics and leaf photosynthesis to global water, carbon, and water fluxes. Explore how the diversity of plant traits and the coupling among physiological processes may impact plant’s behavior.

Basic programming skills in languages like Julia and Python. Interests in plant eco-physiology, plant ecology, and vegetation remote sensing.