School of Engineering
Showing 5,201-5,300 of 6,544 Results
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Olav Solgaard
Audrey S. Hancock Professor in the School of Engineering
BioThe Solgaard group focus on design and fabrication of nano-photonics and micro-optical systems. We combine photonic crystals, optical meta-materials, silicon photonics, and MEMS, to create efficient and reliable systems for communication, sensing, imaging, and optical manipulation.
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Michael A. Sommeling
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
Current Research and Scholarly Interestsbrain-computer interface, electrophysiology, nanofabrication, retinal prosthesis
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Ethan Ruijian Song
Undergraduate, Electrical Engineering
Music Production Overhire, MusicBioTransfer EE Student from Duke.
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Shuran Song
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science
BioShuran Song is an Assistant Professor of Electrical Engineering at Stanford University. Before joining Stanford, she was faculty at Columbia University. Shuran received her Ph.D. in Computer Science at Princeton University, BEng. at HKUST. Her research interests lie at the intersection of computer vision and robotics. Song’s research has been recognized through several awards, including the Best Paper Awards at RSS’22 and T-RO’20, Best System Paper Awards at CoRL’21, RSS’19, and finalists at RSS, ICRA, CVPR, and IROS. She is also a recipient of the NSF Career Award, Sloan Foundation fellowship as well as research awards from Microsoft, Toyota Research, Google, Amazon, and JP Morgan.
To learn more about Shuran’s work, please visit: https://shurans.github.io/ -
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
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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Skyler St. Pierre
Ph.D. Student in Mechanical Engineering, admitted Autumn 2020
Current Research and Scholarly Interestsbiomechanics, machine learning, computational modeling
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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.
