Stanford Doerr School of Sustainability
Showing 1-7 of 7 Results
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Anchal Garg
Postdoctoral Scholar, Earth System Science
BioShe is an environmental researcher working on the negative implications of air pollution on human health and climate change. She has worked on monitoring, mapping, emission inventory, and identifying health hazards of Volatile Organic Compounds, Polycyclic Aromatic Hydrocarbons, and Particulate Matter present in the air. Anchal conducted extensive fieldwork, surveys, and cross-sectional studies to identify air quality and health-related data. Her current project is modeling and measuring the health consequences of indoor air pollutants formed during the combustion of stove gas in California.
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Emily Gordon
Postdoctoral Scholar, Earth System Science
BioPhD, Colorado State University, 2023
MSc, University of Otago, 2020
BSc, University of Otago, 2018 -
Brian Green
Postdoctoral Scholar, Earth System Science
Current Research and Scholarly InterestsMy current research is on the dynamics and circulation of the stratosphere, focusing on quantifying the sources and effects of gravity waves. More broadly, I'm interested in and curious about a large range of topics relating to tropical climate, clouds, and the general circulation of the atmosphere and ocean.
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Tianyang Guo (郭天阳)
Postdoctoral Scholar, Geological Sciences
BioDr. Tianyang Guo earned his Ph.D. degree in Rock Mechanics from the Department of Earth Sciences, the University of Hong Kong in 2020. He earned his bachelor's and master’s degree from Wuhan University (WHU) in 2013 and 2016, respectively. He was awarded the National Scholarship for Graduate in 2015 and graduated from WHU as an outstanding graduate. Before joining Stanford, he was a Postdoctoral Fellow in the Department of Civil and Environmental Engineering at the Hong Kong Polytechnic University (PolyU) under PolyU Distinguished Postdoctoral Fellowship Scheme 2021.
His research interests include (1) Cracking mechanisms and induced microseismicity during the injection of fluid and CO2 into reservoir rocks or caprock. (2) Application of machine learning in acoustic emission (AE) data interpretation. (3) Microcracking mechanisms of granite based on AE and microscopic observation.
