School of Engineering
Showing 401-500 of 565 Results
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Andrew Spakowitz
Senior Associate Dean for Research and Faculty Affairs, Professor of Chemical Engineering, of Materials Science and Engineering and, by courtesy, of Applied Physics
Current Research and Scholarly InterestsTheory and computation of biological processes and complex materials
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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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Adrien Specht-Wyss
Ph.D. Student in Computational and Mathematical Engineering, admitted Spring 2024
BioI'm a PhD student in the Institute for Computational and Mathematical Engineering (ICME) at Stanford University, mentored by Prof. Mignot. My research is at the intersection of artificial intelligence and sleep medicine, focusing on developing predictive models for circadian rhythms and sleep debt from proteomics data. I adopt a problem-oriented approach, selecting methods based on the data and research questions at hand. My techniques range from linear regression to sophisticated deep learning frameworks, aiming to extract maximal insights from the data. I also explore the use of unsupervised and semi-supervised learning, and am interested in the applications of multimodal and foundation models in biology.
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Daniel Spielman
Professor of Radiology (Radiological Sciences Lab) and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsMy research interests are in the field of medical imaging, particularly magnetic resonance imaging and in vivo spectroscopy. Current projects include MRI and MRS at high magnetic fields and metabolic imaging using hyperpolarized 13C-labeled MRS.
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Alfred M. Spormann
Professor of Civil and Environmental Engineering and of Chemical Engineering, Emeritus
Current Research and Scholarly InterestsMetabolism of anaerobic microbes in diseases, bioenergy, and bioremediation
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Kirsten Stasio
Adjunct Lecturer, Atmosphere and Energy
BioKirsten Stasio is CEO of the Nevada Clean Energy Fund (NCEF), Nevada's nonprofit green bank. She also serves as an Adjunct Lecturer at Stanford University, where she co-teaches Understand Energy, a course that gives students the knowledge and tools to engage in the energy and sustainability sectors.
Throughout her career, Kirsten has strived to translate her life-long passion for environmental sustainability into real impact across the policy, education, corporate, and investment sectors. Before joining NCEF, Kirsten worked at MAP Energy, an energy investment firm, where she helped scale investments in renewable energy across the US. Her early career began at the World Resources Institute (WRI), a non-profit, where she worked with policymakers and other stakeholders to implement climate finance solutions. While getting her graduate degree at Stanford, Kirsten worked at Pacific Gas and Electric (PG&E) where she helped launched a new energy efficiency initiative with large businesses in the Bay Area. Kirsten also worked at Apple to implement energy measures at Apple's headquarters, retail stores, and data centers.
Kirsten began teaching at Stanford in early 2015 after graduating from Stanford with an MBA and an MS degree in the Emmet-Interdisciplinary Program on Environment and Resources (E-IPER). Kirsten also earned a dual BA in International Relations and French from the University of California, Davis.
The origins of Kirsten's passion for sustainability trace back to her childhood when she spent time on her family’s fourth-generation ranch in the Sierra Nevada foothills, a place where she enjoys spending time today with her husband and daughter. -
Tom A.D. Stone
Ph.D. Student in Electrical Engineering, admitted Autumn 2025
Current Research and Scholarly InterestsClinical Applications of Magnetic Resonance Imaging
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Maxwell Bradley Strange
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
BioMax is a Ph.D. student in Electrical Engineering advised by Mark Horowitz. His research focuses on developing infrastructure and tools to facilitate agile hardware development as part of the ongoing efforts by the Stanford AHA! Research Center. His research interests also include domain-specific hardware architectures, hardware/software co-design, and embedded systems design. He graduated from the University of Wisconsin in 2017 with a B.S. in Computer Engineering and Computer Science.
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Robert Street
William Alden and Martha Campbell Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsStreet focuses on numerical simulations related to geophysical fluid motions. His research considers the modeling of turbulence in fluid flows, which are often stratified, and includes numerical simulation of coastal upwelling, internal waves and sediment transport in coastal regions, flow in rivers, valley winds, and the planetary boundary layer.
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Haotian Su
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
BioHaotian Su is a Ph.D. candidate in Electrical Engineering at Stanford University, co-advised by Prof. Eric Pop and Prof. Shan X. Wang. He received his B.S. in EE from National University of Singapore (2022). His research focuses on developing novel materials and thin films for energy-efficient memories and computing, including magnetic random-access memory (MRAM), oxide transistors, and other nanoscale devices.
