Stanford Doerr School of Sustainability
Showing 81-90 of 113 Results
-
Chenfei Qu
Postdoctoral Scholar, Environmental Social Sciences
BioChenfei Qu’s research focuses on climate change economics, including emissions trading systems, carbon pricing, air pollution, and integrated assessment of climate and energy policies, with an emphasis on general equilibrium modeling for policy analysis in developing countries. She holds a Ph.D. in Management Science and Technology and a Bachelor’s degree in Environmental Management, both from Tsinghua University. Chenfei Qu was a visiting scholar at the ZEW–Leibniz Centre for European Economic Research in 2024. Her work has been published in journals such as Climate Change Economics, Advances in Climate Change Research, and Environmental Science & Technology.
-
Lisa Rennels
Postdoctoral Scholar, Environmental Social Sciences
Biopersonal website (more frequently updated): lisarennels.com
-
Lane D. Smith
Postdoctoral Scholar, Energy Science and Engineering
BioLane D. Smith is a postdoctoral scholar working with the Climate and Energy Policy Program at Stanford University. His research interests include energy policy, electricity rate design, energy affordability, and macro-energy systems (with a particular focus on the electric grid). Lane holds a Ph.D. and M.S. in Electrical Engineering from the University of Washington (2024 and 2019, respectively) and a B.S. in Electrical Engineering from the University of Denver (2018).
-
Suihong Song
Physical Science Research Scientist, Energy Science & Engineering
Postdoctoral Scholar, Energy Science and EngineeringBioSuihong 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.
-
Catherine Spurin
Postdoctoral Scholar, Energy Resources Engineering
BioI am a postdoctoral researcher in the Energy Science & Engineering department. My current research is focused on understanding how subsurface heterogeneity can be exploited to increase the amount of CO2 that is residually trapped. This increases storage security and minimizes the spread of the CO2 plume. This research makes up part of the GeoCquest consortium with Melbourne University, Cambridge University and CO2CRC. My supervisors are Prof. Hamdi Tchelepi and Prof. Sally Benson.
I obtained my PhD from Imperial College London in 2021. My PhD thesis "Intermittent flow pathways for multiphase flow in porous media: a pore-scale perspective" explored how flow phenomena not included in the framework of Darcy's law extended to multiphase flow influence the propagation and trapping of fluids. My supervisors were Prof. Sam Krevor and Prof. Martin Blunt. My research was funded by the President's PhD scholarship at Imperial. -
Griffin Srednick
Postdoctoral Scholar, Oceans
BioGriffin Srednick, PhD, is an NSF Postdoctoral Research Fellow at Stanford Oceans and a community ecologist specializing in the spatiotemporal dynamics of marine communities. His postdoctoral research investigates how coral reef communities recover from disturbance and respond to the effects of climate change. Conducted within the National Science Foundation's Moorea Coral Reef (MCR) Long Term Ecological Research (LTER) program, his work examines how spatiotemporal heterogeneity in coral communities can promote ecological resilience. By integrating oceanographic modeling with coral reef ecology, his research aims to reveal the mechanisms underpinning coral recovery following disturbance. His broader scientific interests focus on understanding the complex architecture of ecosystems and how a holistic view of ecological systems can inform and enhance conservation and restoration strategies.
