Stanford Doerr School of Sustainability
Showing 81-90 of 106 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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Rafael Stern
Postdoctoral Scholar, Earth System Science
BioRafael Stern was born and raised in Rio de Janeiro, Brazil. He is 35 years old, and married to Gal. Rafael has a BSc in Geography from the Geosciences Department of Universidade Federal Fluminense, in Niterói, Rio de Janeiro, Brazil. He has a MSc from the Climate and Environment Department of the National Institute of Amazon Research in Manaus, Amazonas, Brazil, with the supervision of prof. Paulo Artaxo, and he measured the physical and chemical properties of atmospheric particles during forest fires season in the Amazon rainforest. He has a PhD from the Earth and Planetary Sciences Department of the Weizmann Institute of Science in Rehovot, Israel, with the supervision of prof. Dan Yakir, and he used a mobile eddy covariance station to compare the biogeophysical and biogeochemical effects of different ecosystems and of PV fields on drylands.
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Luwen Wan
Postdoctoral Scholar, Earth System Science
BioLuwen is a Postdoctoral Fellow with the Stanford Institute for Human-Centered Artificial Intelligence, working with Dr. Kate Maher, Professor at Stanford University in the Department of Earth System Science. Her postdoctoral research focuses on developing tools for tracking the recovery and activity of the North American beaver from a computer version and evaluating beaver as a tool for fostering sustainable waterways. She received her Ph.D. in Earth and Environmental Science from Michigan State University, where she worked on nutrient transport modeling across the Great Lakes Basin and agricultural tile drainage mapping across the US Midwest region.
