Stanford Doerr School of Sustainability
Showing 151-157 of 157 Results
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Ao Yu
Ph.D. Student in Earth System Science, admitted Autumn 2023
Masters Student in Earth System Science, admitted Autumn 2026BioAo Yu is a fourth-year Ph.D. candidate in Stanford University’s Department of Earth System Science. Working with Professor Giulio De Leo, she studies how anthropogenic disturbances, including climate change, pollution, and land-use change, affect the transmission of parasitic diseases.
Her current research focuses on schistosomiasis and Lyme disease. She combines laboratory experiments and fieldwork with geospatial analysis and mathematical and statistical modeling to investigate the ecological drivers of disease transmission. She also aims to translate these findings into practical, ecologically informed solutions for disease prevention and control.
Ao earned an M.P.H. in Environmental Health Sciences from the University of California, Berkeley, in 2023. She graduated with honors from Purdue University in 2021 with a B.S. in Biological Sciences and a minor in Chemistry. -
Weiwei Zhan
Postdoctoral Scholar, Earth System Science
BioI study the coupling between the global carbon and water cycles under climate change. Specifically, I investigate how plants regulate carbon uptake and water loss as atmospheric CO2 rises and water limitation intensifies, and how these responses feed back on the global environment. I develop hybrid physics–machine learning approaches and combine them with the expanding record of satellite and in situ observations to test hypotheses about ecosystem function.
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Zhenglin Zhang
Postdoctoral Scholar, Earth System Science
Current Research and Scholarly InterestsClimate change mitigation and sustainable nutrient management in agroecosystems
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Xiaojian Zheng
Postdoctoral Scholar, Earth System Science
BioDr. Xiaojian Zheng is a postdoctoral scholar in the Department of Earth System Science at Stanford University, working with Dr. Yuan Wang. His research targets aerosol–cloud–climate interactions, combining ground-based, airborne, and satellite observations with global and convection-permitting models, and leveraging machine learning throughout the analysis.
Xiaojian's current research directions span deep learning-based estimates of regime-dependent aerosol–cloud interactions, machine-learning emulation of aerosol microphysics inside Earth System models, and the circulation control of convection, heatwaves, and regional air quality.
