School of Earth, Energy and Environmental Sciences
Showing 1-10 of 46 Results
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Shiqi (Axel) Wang
Ph.D. Student in Geophysics
BioI am a mid-career PhD student in geophysics. My research interest is on continental mantle earthquakes, specifically how do we identify them and why do they happen.
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Chenghao Wang
Postdoctoral Scholar, Earth System Science
BioChenghao is a postdoctoral research fellow in the Jackson Lab in the Department of Earth System Science. As a part of the New Map of Life Initiative, he is also a fellow in the domain of Environment at the Stanford Center on Longevity. He is currently studying the relationship between multi-scale energy consumption and human well-being metrics to reduce the need for global energy infrastructure and increase global equality. Chenghao received his Ph.D. from Arizona State University where he focused on the impacts of green infrastructure (especially urban trees) on urban meteorology and climatology using numerical simulations and remote sensing techniques.
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Lijing Wang
Ph.D. Student in Geological Sciences
Ph.D. Minor, Computer ScienceBioLijing is a Ph.D. candidate in the Department of Geological Sciences at Stanford University. Her research focuses on using data-driven methods for efficient and sustainable groundwater exploration and exploitation. She is currently working on 1) geomodeling with electromagnetic images using computer vision methods and 2) hierarchical Bayesian uncertainty quantification method for reservoir predictions and further decision making. She is passionate about teaching data science methods to geoscience audiences and the broader scientific community.
Personal website: https://lijingwang.github.io/ -
Ziyan Wang
Ph.D. Student in Energy Resources Engineering
BioI am a PhD student in Ilenia Battiato’s group at the Department of Energy Resources Engineering in Stanford University. My research focuses on modeling reactive flow and mineral precipitation in porous and fractured media. I developed patch-based and data-driven upscaling algorithms to apply high-fidelity pore-scale modeling to large-scale problems. The research provides a reliable and efficient solution for physical processes that cannot be upscaled by traditional effective medium approximations.
