School of Engineering
Showing 1-100 of 177 Results
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Yoshihisa Yamamoto
Professor of Electrical Engineering and of Applied Physics, Emeritus
Current Research and Scholarly InterestsExperimental Quantum Optics, Semiconductor Physics, Quantum Information
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Daniel Yamins
Associate Professor of Psychology and of Computer Science
Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis. -
Haoxue Yan
Lecturer
BioHaoxue ("How-sh-ew-eh", she/her) is a Lecturer in the Department of Materials Science and Engineering (MSE). Though Haoxue is trained in metallurgy in her graduate studies, she constantly seeks to expand her knowledge base so that she can make materials science interesting, relevant, and approachable for her students. In her classroom, Haoxue is committed to fostering an inclusive and engaging environment that promotes a sense of curiosity and life-long learning in her students as they grow into observant and critical thinkers.
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Diyi Yang
Assistant Professor of Computer Science
BioDiyi Yang is an Assistant Professor in Computer Science at Stanford University. Professor Yang's research interests are Computational Social Science and Natural Language Processing. Her research goal is to understand the social aspects of language and then build socially aware NLP systems to better support human-human and human-computer interaction. Professor Yang received her PhD from the School of Computer Science, Carnegie Mellon University, and her bachelor's degree from Shanghai Jiao Tong University, China. Her work has received multiple best paper nominations or awards at ICWSM, EMNLP, SIGCHI, ACL, and CSCW. She is a recipient of Forbes 30 under 30 in Science, IEEE “AI 10 to Watch”, the Intel Rising Star Faculty Award, Microsoft Research Faculty Fellowship, and NSF CAREER Award.
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Fan Yang
Associate Professor of Orthopaedic Surgery and of Bioengineering
Current Research and Scholarly InterestsOur lab’s mission is to develop therapies for regenerating human tissues lost due to diseases or aging, and to build tissue engineered 3D models for understanding disease progression and informing drug discovery. We invent biomaterials and engineering tools to elucidate and modulate biology, and also use biology to inform materials and engineering design. Our work is highly interdisciplinary, and is driven by unmet clinical needs or key gaps in biology.
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Jerry Yang
Graduate, Stanford Center for Professional Development
BioEngineer; Enterpreneur; Data Scientist; Passion for AI;
Harvard Businness School
CEO of StarRides -
Jerry Yang
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
BioJerry A. Yang is a PhD student in electrical engineering at Stanford University. He received his BS in electrical engineering from the University of Texas at Austin and MA in Education from Stanford University. He currently works on strain engineering in two-dimensional materials in Prof. Eric Pop's lab. In addition, he works on equity issues in engineering education in Prof. Sheri Sheppard's Designing Education Lab. His research interests span novel materials, devices, and systems for next-generation computing, engineering education research methods, and critical theories in engineering education. He is a student member of the Institute for Electrical and Electronics Engineers (IEEE), Materials Research Society (MRS), and American Society of Engineering Education (ASEE).
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Wenhao Yang
Postdoctoral Scholar, Management Science and Engineering
BioWenhao Yang is a postdoctoral researcher in the Department of Management Science and Engineering (MS&E) at Stanford University, advised by Professor Jose Blanchet. He received his Ph.D. in Data Science (Statistics) from Peking University in 2023 and his B.S. in Statistics from the School of Mathematical Sciences at Peking University in 2018.
Wenhao’s research interests lie at the intersection of probability, statistics, and machine learning, with applications in operations research, reinforcement learning, and deep learning. His work focuses on developing modern statistical theory for large-scale models and designing practical algorithms with rigorous theoretical guarantees. His research has contributed to publications in leading venues including Annals of Statistics, IEEE Transactions on Pattern Analysis and Machine Intelligence, ICML, NeurIPS, ICLR, AISTATS, with additional papers currently under revisions at Annals of Applied Probability.
For more details, please visit Wenhao’s personal website: https://web.stanford.edu/~yangwh/ -
Xiao Yang (杨潇)
Postdoctoral Scholar, Mechanical Engineering
BioXiao Yang is a postdoctoral fellow of Mechanical Engineering at Stanford University. Xiao received his bachelor degree from Tianjin University in China in June 2016, and obtained his doctoral degree from Tianjin University in China in June 2023. Xiao’s research interests focus on fabrication and application of functional liquid crystal elastomer composites.
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Yunzhi Peter Yang
Professor of Orthopaedic Surgery and, by courtesy, of Materials Science and Engineering and of Bioengineering
On Partial Leave from 12/01/2025 To 05/31/2026Current Research and Scholarly InterestsThe Yang Lab focuses on next-generation solutions at the intersection of 3D printing, regenerative medicine, modular tissue engineering, biomaterials, and medical device innovation. Our research focuses on engineering dynamic, biomimetic microenvironments that promote cell growth, tissue regeneration, and functional restoration. We develop transformative technologies to treat a broad spectrum of musculoskeletal conditions—including multi-tissue healing challenges and complex traumatic injuries.
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Adrian Yao
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2023
BioAdrian Yao is the Founder and Team Lead of STEER, a DOE-funded initiative at Stanford's Precourt Institute for Energy and SLAC. STEER focuses on the intersection of engineering, economics, and innovation to guide “what to build, where to innovate, and how to invest.” Prior to Stanford, Adrian spent 8 years in industry as the Founder and CTO of a Li-ion battery startup, EnPower, Inc., where he continues to serve as a board director. After having developed EnPower's technology from lab to pilot and validated performance gains with OEMs and cell makers, EnPower is now scaling domestic cell manufacturing in a multi-MWh manufacturing facility in Indianapolis, IN, spearheading the domestic production of Li-ion cells for high-performance applications. Adrian obtained his B.S. in Material Science & Engineering from Rice University in Houston, TX and is simultaneously pursuing his Ph.D. in Materials Engineering at Stanford. Adrian is originally born in Houston, TX but spent the majority of his childhood in Taipei, Taiwan prior to returning to the U.S. in 2010.
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Yinyu Ye
Kwoh-Ting Li Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsMy current research interests include Continuous and Discrete Optimization, Algorithm Development and Analyses, Algorithmic Game/Market Theory and Mechanism-Design, Markov Decision Process and Reinforcement Learning, Dynamic/Online Optimization and Resource Allocation, and Stochastic and Robust Decision Making. These areas have been the unique and core disciplines of MS&E, and extended to new application areas in AI, Machine Learning, Data Science, and Business Analytics.
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Bill Yen
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioBill Yen is a Ph.D. candidate in the Department of Electrical Engineering at Stanford University working in the area of low-power Internet of Things (IoT) systems. He is an interdisciplinary maker and environmental scientist passionate about solving issues related to food, water, and energy using smart technologies.
Yen's experience in industry (General Motors, CNH Industrial) and academic research (Northwestern - soil-powered computing, Stanford - low-power wireless communication) cultivated his interest in designing self-powered computing devices that boost system efficiency while lowering the environmental impact of existing processes. His work has been featured by The Independent, Fast Company, MIT Technology Review China, Hackster.io, and more. He is also a recipient of the Stanford Graduate Fellowship in Science & Engineering. -
Serena Yeung-Levy
Assistant Professor of Biomedical Data Science and, by courtesy, of Electrical Engineering and of Computer Science
BioDr. Serena Yeung-Levy is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.
Dr. Yeung-Levy leads the Medical AI and Computer Vision Lab at Stanford. She is affiliated with the Stanford Artificial Intelligence Laboratory, the Clinical Excellence Research Center, and the Center for Artificial Intelligence in Medicine & Imaging. She is also a Chan Zuckerberg Biohub Investigator and has served on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence.
