Stanford University
Showing 2,041-2,050 of 2,678 Results
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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.
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Alexander Spangher
Postdoctoral Scholar, Computer Science
BioAlexander Spangher is a post-doctoral researcher advised by Daniel Ho, Sanmi Koyejo and Diyi Yang. His research focuses on modeling human decision-making in creative domains, especially in contexts where data is limited and rewards and goals are less clear. He is building out a new domain of learning, called emulation learning, with the goal of training the next generation of reasoning-oriented language models to be more proficient in these domains. His research has been used at technology organizations like OpenAI, Google and EleutherAI. He is especially passionate about helping journalists and has framed tasks and trained reasoning LLMs to help journalists find stories and sources, structure narratives and track information updates. These tools have been incorporated into newsrooms at the New York Times, Bloomberg and Stanford Big Local News, impacting thousands of journalists; and his work is also informing the next generation of journalistic education at USC Annenberg. His work has received numerous awards including two outstanding paper awards at EMNLP 2024, one spotlight award at ICML 2024, one outstanding paper award at NAACL 2022 and a best paper award at CJ2023; and he has been supported by a 4-year Bloomberg PhD Fellowship. His work is broad: in addition to his work in NLP and computational journalism, he has studied misinformation at Microsoft Research and collaborated with the MIT Plasma Science and Fusion Center to model plasma fusion processes.
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Sean Paul Spencer, MD,PhD
Assistant Professor of Medicine (Gastroenterology and Hepatology)
BioSean Spencer, MD,PhD is a Gastroenterologist and Physician Scientist at Stanford University working to uncover the role of dietary intake on the gut microbiome and mucosal immune system. Sean obtained his medical degree University of Pennsylvania, earning his PhD studying nutritional immunology with Yasmine Belkaid,PhD at the National Institutes of Health (NIH), after which he moved to Boston for residency training at Massachusetts General Hospital and completed his Gastroenterology training at Stanford University. Sean’s career goal is to study mechanisms by which dietary intake influences our microbiome and immune system to better understand and treat gastrointestinal disease. Sean has launched a microbiome-focused clinical practice at Stanford where he is working to develop novel microbiome diagnostics and microbial medicines.
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Chelse Spinner, PhD, MPH
Postdoctoral Scholar, Neonatal and Developmental Medicine
BioAn Ohio native, Dr. Chelse Spinner obtained a Bachelor of Science in Biological Sciences (Biomedical Studies) with a minor in Health Education from the University of Cincinnati. She earned a Master of Public Health in Epidemiology and Maternal & Child Health (MCH) from the University of South Florida. She received a Doctor of Philosophy in Public Health Sciences with a concentration in Behavioral Sciences from the University of North Carolina at Charlotte. Dr. Spinner is certified in public health and has experience working across health systems. Her research interests include health disparities, women’s health, social determinants of health, domains of structural racism, and oral-systemic health within the MCH population. She employs quantitative and qualitative methods in the hopes of providing innovative and evidence-informed research to improve health outcomes for marginalized and underserved communities. Her research agenda intends to focus on the exploration of social and structural factors that impact health and well-being.
