School of Engineering
Showing 951-1,000 of 6,062 Results
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Yejin Choi
Dieter Schwarz Foundation HAI Professor and Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence
BioYejin Choi is the Dieter Schwarz Foundation Professor and Senior Fellow at the Department of Computer Science at Stanford University and the Stanford Institute for Human-Centered Artificial Intelligence (HAI) respectively. Choi is MacArthur Fellow (class of 2022), AI2050 Senior Fellow (class of 2024), and named among Time100 Most Influential People in AI in 2023. In addition, Choi is a co-recipient of 2 Test-of-Time awards and 8 Best and Outstanding Paper Awards at top AI conferences including ACL, ICML, NeurIPS, ICCV, CVPR, and AAAI, the Borg Early Career Award (BECA) in 2018, the inaugural Alexa Prize Challenge in 2017, and IEEE AI’s 10 to Watch in 2016. Choi was a main stage speaker at TED 2023, and a keynote speaker for a dozen conferences across several AI disciplines including ACL, CVPR, ICLR, MLSys, VLDB, WebConf, and AAAI. Her current research interests include fundamental limits and capabilities of large language models, alternative training recipes for language models, symbolic methods for neural networks, reasoning and knowledge discovery, moral norms and values, pluralistic alignment, and AI safety.
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Srabanti Chowdhury
Professor of Electrical Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsWide bandap materials & devices for RF, Power and energy efficient electronics
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Jen-Fei Chu
Graduate, Stanford Center for Professional Development
BioDr. Chu is an experienced postdoctoral researcher who has built a strong track record at Academia Sinica, Taiwan. He completed his Ph.D. in Biophysics and Physical Chemistry at the Institute of Atomic and Molecular Sciences (IAMS), gaining expertise in single-molecule imaging, molecular mechanisms, and data analysis. He then applied these imaging skills to neuroscience research at the Institute of Molecular Biology (IMB), with a focus on autism spectrum disorder (ASD) and amyotrophic lateral sclerosis (ALS).
Beyond his rigorous research, Dr. Chu studied law at National Taiwan University (NTU) in preparation for the bar examination. He is now taking credit-bearing graduate courses in electrical engineering and AI at Stanford University through the Center for Global and Online Education (CGOE), working toward the advanced degrees. -
William Chueh
Director, Precourt Institute for Energy, Kimmelman Professor, Professor of Materials Science and Engineering, of Energy Science and Engineering, of Photon Science and Senior Fellow at the Precourt Institute for Energy
BioThe availability of low-cost but intermittent renewable electricity (e.g., derived from solar and wind) underscores the grand challenge to store and dispatch energy so that it is available when and where it is needed. Redox-active materials promise the efficient transformation between electrical, chemical, and thermal energy, and are at the heart of carbon-neutral energy cycles. Understanding design rules that govern materials chemistry and architecture holds the key towards rationally optimizing technologies such as batteries, fuel cells, electrolyzers, and novel thermodynamic cycles. Electrochemical and chemical reactions involved in these technologies span diverse length and time scales, ranging from Ångströms to meters and from picoseconds to years. As such, establishing a unified, predictive framework has been a major challenge. The central question unifying our research is: “can we understand and engineer redox reactions at the levels of electrons, ions, molecules, particles and devices using a bottom-up approach?” Our approach integrates novel synthesis, fabrication, characterization, modeling and analytics to understand molecular pathways and interfacial structure, and to bridge fundamentals to energy storage and conversion technologies by establishing new design rules.
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Vivek Chundru
Ph.D. Student in Bioengineering, admitted Autumn 2025
Current Research and Scholarly InterestsMotor control, brain-computer interface, computational neuroscience
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John M. Cioffi
Hitachi America Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsCioffi researches and teaches in the area of digital transmission. He introduced the basic transmission methods that are a foundation for all modern broadband internet connectivity, which corresponding patents are Stanford Engineering's all-time #2 royalty generator (after #1 search engine). Roughly half his career was spent in industry during various periods as Stanford student or faculty. He has been primary advisor for over 90 Stanford PhD students, and taught communications to 1000's.
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Stephen Clarke
Basic Life Research Scientist, Bioengineering
BioStephen E. Clarke, PhD, is a postdoctoral scholar in the Brain Interfacing Lab, Department of Bioengineering. He obtained a BSc in Mathematics from the University of New Brunswick, and a PhD in Neuroscience from the University of Ottawa. His research draws on combined experimental and computational expertise to explore neuronal information processing on multiple scales, and across species. His long-term research goals involve application of closed-loop brain machine interface technologies as a platform for neurorehabilitation and repair in motor and cognitive systems, leveraging both insights from basic neuroscience and exciting new implant technologies.
Research Interests: Sensory and Motor Systems Neuroscience, Computational Neuroscience, Cellular and Molecular Neuroscience, Applied Mathematics, Neurorehabilitation and Repair. -
Rachel Cleaveland
Ph.D. Student in Computer Science, admitted Autumn 2021
BioI am a 5th-year PhD student at Stanford University, advised by Clark Barrett. My research focuses on applications of the theory of strings within symbolic execution as well as memory model verification.
