Stanford Doerr School of Sustainability
Showing 1,381-1,400 of 1,433 Results
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Siyuan (Simon) Xing
Visiting Associate Professor, Energy Science & Engineering
BioSiyuan (Simon) Xing is a Visiting Associate Professor in the Department of Energy Science & Engineering at Stanford University, hosted by Prof. Daniel Tartakovsky. He is also an Associate Professor of Mechanical Engineering Department at California Polytechnic State University (Cal Poly). His research focuses on nonlinear dynamics and scientific machine learning, with an emphasis on developing computational tools to uncover governing equations, predict complex patterns, and analyze bifurcations in nonlinear systems. His recent work explores interpretable neural networks to accelerate scientific discovery and advance our understanding of complex phenomena.
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Sandeep Yadav
Postdoctoral Scholar, Energy Science and Engineering
BioSandeep Yadav is a postdoctoral scholar in the Department of Energy Resources Engineering at the Stanford Doerr School of Sustainability. His research focuses on advancing sustainable energy systems, with an emphasis on techno-economic analysis and modeling of carbon capture retrofits for industrial decarbonization and energy efficiency. He earned his Ph.D. in Energy Science and Engineering from the Indian Institute of Technology (IIT) Bombay, where he specialized in the techno-economic assessment of carbon capture technologies, data center cooling, and combined cooling and power systems. Sandeep is committed to supporting the global transition to low-carbon energy and is passionate about mentoring the next generation of scientists and engineers.
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Da Yang
Assistant Professor Geophysics
Current Research and Scholarly InterestsMy research focuses on atmospheric convection and clouds—the major sources of uncertainty in predicting future climate change. Key questions in this field include: What makes air rise to form clouds? How do individual convective clouds organize into expansive rainstorms? How does convection work in warmer climates? I combine theory, observations, numerical models, and machine learning methods to address these most fundamental yet challenging questions.
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Audrey Yau
Director, Stanford Energy Postdoctoral Fellowship, Precourt Institute for Energy
BioAs a Director in the Precourt Institute for Energy in the Stanford Doerr School of Sustainability, Audrey is responsible for the overall strategic and operational leadership for the Stanford Energy Postdoctoral Fellowship. In her role, Audrey develops educational experiences that connect academic learning with real world impact for postdoctoral scholars in Stanford's newest school.
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David Zhen Yin
Senior Research Scientist - Physical
BioDavid Zhen Yin is the co-founder and program director of Stanford Mineral-X, a research innovation hub on creating resilient mineral supply chains for energy transitions. He is also the principal scientist at Stanford Center for Earth Resources Forecasting. Since 2024, David has been serving on the US National Academies Committee on optimizing the USGS Mineral Resources Program.
David develops data-scientific approaches for prediction, uncertainty quantification, and decision-making in critical earth resources exploration and development. He has broad experience with complex projects involving academia and industry and has broad knowledge of the fields. His research delivered several key technologies transferred as in-house technologies in Chevron, Equinor, and KoBold. In addition, his research developments have been implemented on various subjects, from Antarctica bed topography modeling, critical mineral explorations in Canada/China/US, and the North Sea and Gulf of Mexico projects.
Before joining Stanford, David was a Research Associate at the Edinburgh Time-Lapse Project in Scotland, leading a geophysical monitoring research project in collaboration with Equinor from 2016 to 2018. He was also a technology consultant at Equinor's Research Center in Bergen, Norway. Then, he was a Chevron CoRE Postdoctoral Fellow at Stanford from 2018 to 2021. He was the Co-PI of the Stanford-KoBold collaboration from 2020 to 2022 which led to a $192.5 million Series B fundraising.
David received his Ph.D. in Geosciences from Heriot-Watt University, Edinburgh, UK, in 2016. His research interests include data science for geosciences, geological uncertainty quantification, and decision-making under uncertainty. He has authored one book and tens of articles in peer-reviewed journals and international conferences.
