Stanford University
Showing 6,161-6,180 of 6,718 Results
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Rahel Woldeyes
Affiliate, Program-Chiu, W.
BioThe goal of my current research is to use high-resolution imaging techniques to interrogate outstanding questions in cardiac cell biology, with a focus on the signaling pathways that trigger heart muscle contraction. I currently use cryo-electron tomography-based imaging approaches to connect the molecular and cellular scales of biology and accelerate our understanding of human health and disease. https://orcid.org/0000-0003-0737-8383
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Robin Linus
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
BioCypherpunk | Bitcoin researcher | Creator of BitVM
Focusing on the scalability, privacy, and usability of Bitcoin.
https://robinlinus.com -
Christopher Wolters
Affiliate, Program-Mitra, S.
BioChristopher Wolters is an M.Sc. candidate in Electrical and Computer Engineering at the Technical University of Munich (TUM). His research focuses on artificial intelligence, bio-inspired computing, and hardware-software co-design. He is currently a Visiting Student Researcher at Stanford University, where he works on AI computing architectures under the supervision of Prof. Subhasish Mitra and Prof. Ulf Schlichtmann.
Christopher has conducted research at the University of Tokyo on compute-in-memory architectures and at Duke University on neuromorphic hardware, and he completed academic training at ETH Zurich in Electrical and Computer Engineering. His accolades include the Max Weber Program scholarship by the German state, the Best Poster Award at MWSCAS 2023, and the NSF-CISE MWSCAS Student Award. -
Evelyn Wong
MD Student, expected graduation Spring 2028
Ph.D. Student in Bioengineering, admitted Spring 2026
Ph.D. Student in Biophysics, admitted Autumn 2025
MSTP StudentCurrent Research and Scholarly InterestsSoft bioelectronics for multi-modal sensing and neural stimulation
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H.-S. Philip Wong
Willard R. and Inez Kerr Bell Professor in the School of Engineering
BioH.-S. Philip Wong is the Willard R. and Inez Kerr Bell Professor in the School of Engineering at Stanford University. He joined Stanford University as Professor of Electrical Engineering in 2004. From 1988 to 2004, he was with the IBM T.J. Watson Research Center. From 2018 to 2020, he was on leave from Stanford and was the Vice President of Corporate Research at TSMC, the largest semiconductor foundry in the world, and since 2020 remains the Chief Scientist of TSMC in a consulting, advisory role.
He is a Fellow of the IEEE and received the IEEE Andrew S. Grove Award, the IEEE Technical Field Award to honor individuals for outstanding contributions to solid-state devices and technology, as well as the IEEE Electron Devices Society J.J. Ebers Award, the society’s highest honor to recognize outstanding technical contributions to the field of electron devices that have made a lasting impact.
He is the founding Faculty Co-Director of the Stanford SystemX Alliance – an industrial affiliate program focused on building systems and the faculty director of the Stanford Nanofabrication Facility – a shared facility for device fabrication on the Stanford campus that serves academic, industrial, and governmental researchers across the U.S. and around the globe, sponsored in part by the National Science Foundation. He is the Principal Investigator of the Microelectronics Commons California-Pacific-Northwest AI Hardware Hub, a consortium of over 40 companies and academic institutions funded by the CHIPS Act. He is a member of the US Department of Commerce Industrial Advisory Committee on microelectronics. -
S Simon Wong
Professor of Electrical Engineering, Emeritus
BioWong studies the fabrication and design of high-performance integrated circuits.
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Wing Hung Wong
Stephen R. Pierce Family Goldman Sachs Professor of Science and Human Health and Professor of Biomedical Data Science
Current Research and Scholarly InterestsCurrent interest centers on the application of statistics, computation and engineering approaches to biology and medicine. We are particularly interested in questions concerning gene regulation, genome interpretation and their applications to precision medicine.
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Sanna Kaisa Wong Toropainen
Graduate, Computer Science
BioSanna Wong-Toropainen researches neuro-symbolic AI approaches to regulatory compliance and legal reasoning. Her doctoral work at the University of Helsinki Faculty of Law focuses on computational methods for interpreting EU digital regulations, including the AI Act, Data Act, and GDPR.
At Stanford CodeX, she is conducting the ComplianceTwin research pilot with five European enterprises (including Vaisala, PwC Finland, Tieto, iLOQ), developing AI systems that transform regulatory texts into structured legal knowledge for explainable compliance decisions. The project investigates how knowledge graphs and large language models can support traceable legal reasoning in high-stakes regulatory contexts.
She is affiliated with the University of Helsinki Legal Tech Lab and the Trust-M research consortium on trustworthy AI-enabled digital infrastructures (Strategic Research Council of Finland). Her research is supported by scholarships from the Finnish Work Environment Fund and the Foundation for Economic Development. Previously, she served as Data Protection Officer for Finland's Criminal Sanctions Agency and co-founded Muna.io, a privacy-tech startup.
