Stanford Doerr School of Sustainability
Showing 91-100 of 133 Results
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Suihong Song
Postdoctoral Scholar, Energy Resources Engineering
BioSuihong Song collaborates with Professor Tapan Mukerji at the Stanford Center for Earth Resources Forecast (SCERF) as a postdoctoral scholar. His research is centered on integrating machine learning with geosciences, specifically focusing on machine learning-based reservoir characterization and geomodelling, Physics-informed Neural Networks (PINNs) and neural operators as well as their applications in porous flow simulations, neural networks-based surrogate and inversion, decision-making under uncertainty, and machine learning-based geological interpretation of well logs and seismic data. These research endeavors have practical applications in managing underground water resources, oil and gas exploration, geological storage of CO2, and the evaluation of hydrothermal and natural hydrogen, among others.Song proposed GANSim, an abbreviation for Generative Adversarial Networks-based reservoir simulation, which presents a reservoir geomodelling workflow. This innovative approach has been successfully implemented in various 3D field reservoirs by international oil companies, including ExxonMobil.
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Garry Sotnik
Lecturer
BioGarry is a sustainability scientist committed to diversity, equity, inclusion, and intergenerational well-being. He works with communities and organizations on solution innovation, decision analysis, strategic planning, and cross-sector partnerships. Garry also develops AI-based tools for adaptive planning and applies them and other scientific techniques in studying the relationship between micro-level human decision making and macro-level social outcomes. At Stanford, he teaches adaptation to climate change, decision-making, strategic planning, and transformative societal change. Garry's prior work ranged from social protection and resilience in the Middle East to decision-making and adaptation to policy and climate change in the United States and Ukraine.
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Andrew Spakowitz
Tang Family Foundation Chair of the Department of Chemical Engineering, Professor of Chemical Engineering and of Materials Science and Engineering
Current Research and Scholarly InterestsTheory and computation of biological processes and complex materials
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Erik Sperling
Associate Professor of Earth and Planetary Sciences, Senior Fellow at the Woods Institute for the Environment and Associate Professor, by courtesy, of Oceans
On Leave from 01/01/2024 To 08/31/2024Current Research and Scholarly InterestsThe research interests in the Sperling Lab are Earth history and the evolution of life, and the interactions between the biosphere and the geosphere. As such this research can generally be considered paleontology, insofar as paleontology encompasses all aspects of the history of life.
Consequently, we define our research agenda by the questions we are interested in, rather than the tools used. This research incorporates multiple lines of evidence, and multiple tools, to investigate questions in the history of life. These lines of evidence include fossil data, molecular phylogenetics, sedimentary geochemistry, and developmental and ecological data from modern organisms. Ultimately, the goal is to link environmental change with organismal and ecological response through the lens of physiology.
Our field research takes place all over the world--current areas include:
-NW Canada (Yukon and Northwest Territories): Research has been conducted on the early Neoproterozoic Fifteenmile Group, Cryogenian and Ediacaran Windermere Supergroup, and on the Ordovician-Devonian Road River Group in the southern Richardson Mountains
-Southern Canadian Cordillera: Work here has focused on the early Cambrian Mural Formation and its soft-bodied fauna.
-England and Wales: Cambrian-Silurian successions in the Welsh Basin
-Namibia: Ediacaran Nama Group
-Upwelling zones: We study the oxygen minimum zone offshore California as an analogue for ancient low-oxygen oceans.
