School of Engineering
Showing 651-682 of 682 Results
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Renyuan Xu
Assistant Professor of Management Science and Engineering
BioRenyuan Xu is an assistant professor of Management Science and Engineering (MS&E) at Stanford University. Prior to joining Stanford, she held positions at New York University (2024-2025) and the University of Southern California (2021–2024), and was a Hooke Research Fellow at the Mathematical Institute, University of Oxford (2019–2021). She received her Ph.D. in Operations Research from the University of California, Berkeley in 2019. Renyuan's current research interests include mathematical finance, stochastic analysis, stochastic controls and games, and machine learning theory. She received an NSF CAREER Award in 2024, the SIAM Activity Group on Financial Mathematics and Engineering Early Career Prize in 2023, and two JP Morgan AI Faculty Research Awards in 2022 and 2025.
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Sheng Xu
Professor of Anesthesiology, Perioperative & Pain Medicine (Department Research) and, by courtesy, of Electrical Engineering
BioDr. Sheng Xu is a tenured professor and the inaugural Director of Emerging Technologies in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University, with a courtesy appointment in Electrical Engineering. He earned his B.S. degree in Chemistry from Peking University and his Ph.D. in Materials Science and Engineering from the Georgia Institute of Technology. Subsequently, he pursued postdoctoral studies at the Materials Research Laboratory at the University of Illinois at Urbana-Champaign. He then spent 10 years on the faculty at UC San Diego before joining Stanford in 2025. His research group is interested in developing new materials and fabrication methods for soft electronics. His research has been presented to the United States Congress as a testimony to the importance and impact of NIH funding.
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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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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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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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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. -
Paul Yock, MD
Martha Meier Weiland Professor in the School of Medicine and Professor of Bioengineering, Emeritus
Current Research and Scholarly InterestsHealth technology innovation using the Biodesign process: a systematic approach to the design of biomedical technologies based on detailed clinical and economic needs characterization. New approaches for interdisciplinary training of health technology innovators, including processes for identifying value opportunities in creating new technology-based approaches to health care.
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Yaochun Yu
Assistant Professor of Civil and Environmental Engineering
BioMy research focuses on functional environmental microbiology and environmental analytical chemistry to uncover and harness microorganisms for chemical biotransformation. We integrate high-resolution mass spectrometry, meta-omics sequencing, molecular microbiology and biochemistry, and computational modeling to identify the functional microbes, genes, and enzymes that drive these processes. Building on these mechanistic insights, we aim to develop environmentally benign chemicals and novel biosolutions for bioremediation and waste-to-resource recovery.
I am also interested in how anthropogenic perturbations (i.e., chemical exposure) reshape microbial biodiversity and ecosystem function across natural and engineered ecosystems. We aim to resolve these cause–effect relationships and, using standardized and synthetic microbial communities, run comparable, hypothesis-driven experiments that translate fundamental insights into predictive tools and practical interventions. The aim is to help keep human activities within the safe operating space of planetary boundaries while advancing environmental and public health. -
Rozie Zangeneh
Physical Science Research Scientist
BioDr. Rozie Zangeneh is a physical science research scientist in the Department of Mechanical Engineering at Stanford. She develops and utilizes scientific computational tools and conducts massively parallel computations to study detailed physical processes in these systems and develops data-driven low-order models for affordable computation of highly turbulent systems.
Rozie received her Ph.D. in Mechanical Engineering from the University of Maine. Her primary research interests include turbulence modeling (LES and RANS), data-driven and reduced-order models, high-speed aero-thermodynamics, and the aerodynamics of wind turbines. -
Howard Zebker
Kwoh Ting Li Professor in the School of Engineering and Professor of Geophysics
Current Research and Scholarly InterestsResearch
My students and I study the surfaces of Earth and planets using radar remote sensing methods. Our specialization is interferometric radar, or InSAR. InSAR is a technique to measure mm-scale surface deformation at fine resolution over wide areas, and much of our work follows from applying this technique to the study of earthquakes, volcanoes, and human-induced subsidence. We also address global environmental problems by tracking the movement of ice in the polar regions. whose ice mass balance affects sea level rise and global climate. We participate in NASA space missions such as Cassini, in which we now are examining the largest moon of Saturn, Titan, to try and deduce its composition and evolution. Our work includes experimental observation and modeling the measurements to best understand processes affecting the Earth and solar system. We use data acquired by spaceborne satellites and by large, ground-based radar telescopes to support our research.
Teaching
I teach courses related to remote sensing methods and applications, and how these methods can be used to study the world around us. At the undergraduate level, these include introductory remote sensing uses of the full electromagnetic spectrum to characterize Earth and planetary surfaces and atmospheres, and methods of digital image processing. I also teach a freshman and sophomore seminar course on natural hazards. At the graduate level, the courses are more specialized, including the math and physics of two-dimensional imaging systems, plus detailed ourses on imaging radar systems for geophysical applications.
Professional Activities
InSAR Review Board, NASA Jet Propulsion Laboratory (2006-present); editorial board, IEEE Proceedings (2005-present); NRC Earth Science and Applications from Space Panel on Solid Earth Hazards, Resources, and Dynamics (2005-present); Chair, Western North America InSAR (WInSAR) Consortium (2004-06); organizing committee, NASA/NSF/USGS InSAR working group; International Union of Radioscience (URSI) Board of Experts for Medal Evaluations (2004-05); National Astronomy and Ionospheric Center, Arecibo Observatory, Visiting Committee, (2002-04; chair, 2003-04); NASA Alaska SAR Facility users working group (2000-present); associate editor, IEEE Transactions on Geoscience and Remote Sensing (1998-present); fellow, IEEE (1998) -
Emmett Zeifman
Lecturer
BioEmmett Zeifman is a Canadian architect who teaches in the Sustainable Architecture and Engineering program at Stanford. He is principal of NOUNS, an architecture and design practice, with built projects completed or underway in Los Angeles, New York City, San Francisco, and elsewhere. His research focuses on the history of modern architecture and its relation to contemporary urbanism, housing and low-carbon approaches to construction. Prior to joining the faculty at Stanford, he taught at the Harvard University Graduate School of Design (2022-24), Columbia University Graduate School of Architecture, Planning and Preservation (2017-21), and SCI-Arc (2014-17), as well as the CCA and University of Pennsylvania. He received his M.Phil in Architecture by Research from the University of Cambridge, where he was the 2013-14 Yale Bass Scholar in Architecture, his M.Arch ('11) from the Yale University School of Architecture, and his B.A. ('06) in English literature from McGill University. He recently guest edited Log 64: Toward a Newer Brutalism, or the Undecorated Shed (2025) and curated the exhibition Towards a Newer Brutalism: Solar Pavilions, Appliance Houses and Other Topologies of Contemporary Life (2024) at the Harvard Graduate School of Design.
Prior to founding NOUNS, he was founding principal of the design practice Medium Office in New York and Los Angeles, with Alfie Koetter, and was architectural designer on a number of super-tall and mixed-use projects in the United States and Southeast Asia at Kohn Pedersen Fox Associates in New York. With Constance Vale, he led the design and construction of the "central hub," a temporary pavilion for the acclaimed opera production Hopscotch in downtown Los Angeles. He was co-founding editor of the independent publication Project: A Journal for Architecture (2011-18), and assistant editor of the Yale publication Rethinking Chongqing: Mixed-Use and Super-Dense (2015), which also featured his photography throughout. His design work and criticism have been widely exhibited and published, and his editorial efforts have been supported by the Graham Foundation for Advanced Studies in the Fine Arts. In addition to his teaching, he has served as critic and juror and participated in panels and public discussions at numerous institutions, including Barnard, Berkeley, CCA, Columbia, Cooper Union, CUNY, Harvard, MIT, Pratt, SCI-Arc, Storefront for Art and Architecture, UCLA, University of Michigan, University of Pennsylvania, USC, Van Alen Institute, Washington University, and Yale. -
Haoqi (Nina) Zhao
Acting Assistant Professor, Civil and Environmental Engineering
BioNina will join Stanford CEE as an Assistant Professor in Summer 2026. Her research bridges computational metabolomics and exposomics to uncover unknown lifestyle chemicals and their impacts on health. Nina earned her B.S. from Peking University, her Ph.D. from the University of Washington, and is currently a postdoctoral scientist at UC San Diego. She received the Pathway to Independence Award (K99/R00) from the National Institutes of Health in 2025.
The Zhao Lab at Stanford will operate at the interface of environmental chemistry, environmental health, and computational mass spectrometry. We aim to identify previously unrecognized chemical drivers that influence human and ecosystem health. We pursue this goal by developing innovative computational and analytical methods centered around untargeted mass spectrometry. Through these efforts, we aim to enable precision environmental health strategies, inform public health policies, and inspire sustainable chemical design.
Current research interests include (but are not limited to):
1.Leveraging mass spectrometry data repositories and advanced informatics tools to systematically map the chemical exposome.
2.Developing tools and resources for mass spectrometry data analysis to advance exposomics research.
3.Investigating host-microbiome-xenobiotic interactions and their impacts on human health.
4.Integrating toxicology with untargeted screening to accelerate the discovery and risk assessment of unknown molecules.
5.Pediatric environmental health: chemical exposures through breastfeeding and their implications for infant development.
6.Traffic-related chemical pollution: environmental fate, occurrence, and relevance to human exposures.
Education
Ph.D., University of Washington, Environmental Engineering (2021)
B.S., Peking University, Environmental Science (2016)
Publications
https://scholar.google.com/citations?user=xW9jBO0AAAAJ&hl=en
Email: hqzhao@stanford.edu -
Renee Zhao
Assistant Professor of Mechanical Engineering and, by courtesy, of Bioengineering and of Materials Science and Engineering
BioRuike Renee Zhao is an Assistant Professor of Mechanical Engineering at Stanford University, where she directs the Soft Intelligent Materials Laboratory. Originally from the historic city of Xi'an, she earned her BS from Xi'an Jiaotong University in 2012. She then pursued Solid Mechanics at Brown University, obtaining her MS in 2014 and PhD in 2016. Following her doctoral studies, she completed postdoctoral training at MIT (2016–2018) before serving as an Assistant Professor at The Ohio State University (2018–2021).
Renee’s research focuses on developing stimuli-responsive soft composites for multifunctional robotic systems with integrated shape-changing, assembly, sensing, and navigation capabilities. By integrating mechanics, material science, and advanced material manufacturing, her work enables innovations in soft robotics, miniaturized biomedical devices, robotic surgery, origami systems, active metamaterials, and general deployable morphing structures.
Her contributions have been recognized with honors and awards, including the Presidential Early Career Award for Scientists and Engineers (PECASE), DARPA Young Faculty Award (YFA, 2025), ARO Early Career Program (ECP) Award (2023), AFOSR Young Investigator Research Program (YIP) Award (2023), Eshelby Mechanics Award for Young Faculty (2022), ASME Henry Hess Early Career Publication Award (2022), ASME Pi Tau Sigma Gold Medal (2022), ASME Applied Mechanics Division Journal of Applied Mechanics Award (2021), NSF CAREER Award (2020), and ASME Applied Mechanics Division Haythornthwaite Research Initiation Award (2018). She is also recognized as a National Academy of Sciences Kavli Fellow and was named one of MIT Technology Review's 35 Innovators Under 35. -
Xiaolin Zheng
Professor of Mechanical Engineering, of Energy Science Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering
BioProfessor Zheng received her Ph.D. in Mechanical & Aerospace Engineering from Princeton University (2006), B.S. in Thermal Engineering from Tsinghua University (2000). Prior to joining Stanford in 2007, Professor Zheng did her postdoctoral work in the Department of Chemistry and Chemical Biology at Harvard University. Professor Zheng is a member of MRS, ACS and combustion institute. Professor Zheng received the TR35 Award from the MIT Technology Review (2013), one of the 100 Leading Global Thinkers by the Foreign Policy Magazine (2013), 3M Nontenured Faculty Grant Award (2013), the Presidential Early Career Award (PECASE) from the white house (2009), Young Investigator Awards from the ONR (2008), DARPA (2008), Terman Fellowship from Stanford (2007), and Bernard Lewis Fellowship from the Combustion Institute (2004).
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James Zou
Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.
We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups. -
Tijana Zrnic
Assistant Professor of Statistics and of Management Science and Engineering
BioTijana Zrnic is an Assistant Professor at Stanford University, jointly appointed between Statistics, Management Science & Engineering, and, by courtesy, Computer Science. She works on foundational questions in machine learning, statistics, and data-driven decision-making. Example topics of interest include AI-assisted statistical inference and data collection, performative prediction, and studying selection bias.
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Adam Zsarnoczay
Senior Research Engineer
Current Research and Scholarly InterestsAdam's research focuses on disaster simulations that support multi-hazard risk assessment and management at a regional scale. His research interests include probabilistic natural hazard assessment, model development and calibration for structural response estimation and performance assessment, surrogate modeling and uncertainty quantification in large-scale, regional simulations, and using quantitative disaster simulations to support risk management and mitigation.
