Stanford Doerr School of Sustainability
Showing 171-176 of 176 Results
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Zutao Yang
Physical Science Research Scientist
BioI am an ecosystem ecologist using data-driven approaches to study global environmental changes, including climate change, land use land cover change, and coupled natural and human (CNH) systems. My data comes from both remote sensing observation and field measurements. My current project is studying methane emissions from abandoned oil and gas wells and from home appliances in California.
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Jessica Yu
Postdoctoral Scholar, Earth System Science
BioMy research interests are in global public health equity, sustainability, and social entrepreneurship. More specifically, I hope to use spatial epidemiology, machine learning modeling, and policy frameworks to estimate inequalities in global environmental health indicators and devise pro-equity and community-level solutions.
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Xueying Yu
Postdoctoral Scholar, Earth System Science
BioI study atmospheric chemistry, greenhouse gas emissions, satellite remote sensing retrievals, and carbon mitigation, using inverse modeling and other data-driven approaches. My current project is quantifying methane emissions from point source level to the global budget.
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Emily Juliette Zakem
Assist Prof (By Courtesy), Earth System Science
BioEmily Zakem is a Principal Investigator at the Department of Global Ecology at the Carnegie Institution for Science. Previously, she was a Simons Foundation Postdoctoral Fellow in Marine Microbial Ecology at the University of Southern California in Los Angeles. She completed her Ph.D. in Climate Physics and Chemistry in the Department of Earth, Atmospheric and Planetary Sciences at the Massachusetts Institute of Technology. In her research, she aims to improve understanding of the connections between microbial ecosystems, global biogeochemistry, and the climate system. She uses theory and mathematical models to understand how microbial ecology drives carbon, nitrogen, and other elemental cycling. She develops broadly applicable models of microbial populations, grounded in underlying chemical and physical constraints, in order to robustly predict the biogeochemistry of past, present, and future environments.
