School of Engineering
Showing 601-700 of 701 Results
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James Swartz
James H. Clark Professor in the School of Engineering and Professor of Chemical Engineering and of Bioengineering
Current Research and Scholarly InterestsProgram Overview
The world we enjoy, including the oxygen we breathe, has been beneficially created by biological systems. Consequently, we believe that innovative biotechnologies can also serve to help correct a natural world that non-natural technologies have pushed out of balance. We must work together to provide a sustainable world system capable of equitably improving the lives of over 10 billion people.
Toward that objective, our program focuses on human health as well as planet health. To address particularly difficult challenges, we seek to synergistically combine: 1) the design and evolution of complex protein-based nanoparticles and enzymatic systems with 2) innovative, uniquely capable cell-free production technologies.
To advance human health we focus on: a) achieving the 120 year-old dream of producing “magic bullets”; smart nanoparticles that deliver therapeutics or genetic therapies only to specific cells in our bodies; b) precisely designing and efficiently producing vaccines that mimic viruses to stimulate safe and protective immune responses; and c) providing a rapid point-of-care liquid biopsy that will count and harvest circulating tumor cells.
To address planet health we are pursuing biotechnologies to: a) inexpensively use atmospheric CO2 to produce commodity biochemicals as the basis for a new carbon negative chemical industry, and b) mitigate the intermittency challenges of photovoltaic and wind produced electricity by producing hydrogen either from biomass sugars or directly from sunlight.
More than 25 years ago, Professor Swartz began his pioneering work to develop cell-free biotechnologies. The new ability to precisely focus biological systems toward efficiently addressing new, “non-natural” objectives has proven tremendously useful as we seek to address the crucial and very difficult challenges listed above. Another critical feature of the program is the courage (or naivete) to approach important objectives that require the development and integration of several necessary-but- not-sufficient technology advances. -
James Sweeney
Professor of Management Science & Engineering, Emeritus
Current Research and Scholarly InterestsDeterminants of energy efficiency opportunities, barriers, and policy options. Emphasis on behavioral issues, including personal, corporate, or organizational. Behavior may be motivated by economic incentives, social, or cultural factors, or more generally, by a combination of these factors. Systems analysis questions of energy use.
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Joel Swisher
Adjunct Professor
BioJoel N. Swisher, PhD, PE, is Consulting Associate Professor of Civil and Environmental Engineering at Stanford University, where he teaches graduate-level courses on greenhouse gas (GHG) mitigation (covering technical and business strategies to manage GHG risks) and electric utility planning methods (covering supply and demand-side resources, resource integration and expansion planning). His current research at Stanford addresses the integration of plug-in vehicles with the power grid and the barriers and synergies related to metering, tariffs, load management, customer incentives, and charging infrastructure.
Dr. Swisher is also an independent consultant with over 30 years experience in research and consulting on many aspects of clean energy technology. He is an expert in energy efficiency technology and policy, carbon offsets and climate change mitigation, and electric utility resource planning and economics. He has consulted with numerous utilities, manufacturers and technology companies on resource planning, energy efficiency, vehicle electrification and clean energy deployment strategies. He has also helped consumer-oriented firms design strategies to expand simple cost-saving energy investment programs into brand-building corporate sustainability campaigns.
Dr. Swisher is a thought leader in several areas of clean energy technology and business strategy. As Director of Technical Services and CTO for Camco International, Dr. Swisher helped develop carbon offset projects in reforestation, agriculture, renewable energy and building energy efficiency, and he has authored emission inventories, baseline studies and monitoring and verification plans for multilateral banks and private offset buyers. Starting in 1989, Dr. Swisher performed seminal research on carbon offset baselines and technical and economic analysis of carbon offsets in the energy and land-use sectors.
Dr. Swisher was managing director of research and consulting at Rocky Mountain Institute (RMI), where he led RMI’s consulting team in work for numerous high-profile clients, including electric utilities and producers of goods ranging from semiconductor chips to potato chips. At RMI, he created the concept of the Smart Garage, which explores the energy system synergies in which vehicle electrification helps enable zero-emission vehicles and a cleaner power grid. He led an RMI team that convened an industrial consortium (including Alcoa, Johnson Controls, Google, etc.) to develop a new, lightweight, plug-in hybrid vehicle platform for Class 2 truck fleet applications. Collaborating with the design firm IDEO to conduct interdisciplinary design workshops, the RMI team initiated a working design to attract funding and move toward production, which proceeded as a spin-off company, Bright Automotive in Indiana.
Dr. Swisher holds a Ph.D. in Energy and Environmental Engineering from Stanford University. He is a registered Professional Engineer and speaks five languages. He is author of over 100 professional publications including The New Business Climate: A Guide to Lower Carbon Emissions and Better Business Performance and a bilingual (English and Portuguese) textbook on energy efficiency program design and evaluation and integrated energy resource planning. -
Thierry Tambe
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science
BioThierry Tambe is an Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science, and the William George and Ida Mary Hoover Faculty Fellow at Stanford University. His research interests include hardware and software co-design techniques for domain-specific silicon systems for emerging AI and data-intensive applications. He also bears a keen interest in agile chip development methodologies. Previously, Thierry was a visiting research scientist at NVIDIA and an engineer at Intel. He received a B.S., and M.Eng. from Texas A&M University, and a PhD from Harvard University, all in Electrical Engineering. His research has been recognized through a NVIDIA Graduate PhD Fellowship, an IEEE SSCS Predoctoral Achievement Award, and distinguished paper awards at DAC and MICRO.
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Li-Yang Tan
Assistant Professor of Computer Science
Current Research and Scholarly InterestsTheoretical computer science, with an emphasis on complexity theory
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Sindy Tang
Associate Professor of Mechanical Engineering, Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Radiology and of Bioengineering
Current Research and Scholarly InterestsThe long-term goal of Dr. Tang's research program is to harness mass transport in microfluidic systems to accelerate precision medicine and material design for a future with better health and environmental sustainability.
Current research areas include: (I) Physics of droplets in microfluidic systems, (II) Interfacial mass transport and self-assembly, and (III) Applications in food allergy, single-cell wound repair, and the bottom-up construction of synthetic cell and tissues in close collaboration with clinicians and biochemists at the Stanford School of Medicine, UCSF, and University of Michigan.
For details see https://web.stanford.edu/group/tanglab/ -
William Abraham Tarpeh
Assistant Professor of Chemical Engineering, by courtesy, of Civil and Environmental Engineering and Center Fellow, by courtesy, at the Woods Institute for the Environment
BioReimagining liquid waste streams as resources can lead to recovery of valuable products and more efficient, less costly approaches to reducing harmful discharges to the environment. Pollutants in effluent streams can be captured and used as valuable inputs to other processes. For example, municipal wastewater contains resources like energy, water, nutrients, and metals. The Tarpeh Lab develops and evaluates novel approaches to resource recovery from “waste” waters at several synergistic scales: molecular mechanisms of chemical transport and transformation; novel unit processes that increase resource efficiency; and systems-level assessments that identify optimization opportunities. We employ understanding of electrochemistry, separations, thermodynamics, kinetics, and reactor design to preferentially recover resources from waste. We leverage these molecular-scale insights to increase the sustainability of engineered processes in terms of energy, environmental impact, and cost.
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Daniel Tartakovsky
Professor of Energy Science Engineering
Current Research and Scholarly InterestsEnvironmental fluid mechanics, Applied and computational mathematics, Biomedical modeling.
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Clyde Tatum
Obayashi Professor in the School of Engineering, Emeritus
BioTatum's teaching interests are construction engineering and technical construction. His research focuses on construction process knowledge and integration and innovation in construction.
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Hamdi Tchelepi
Max Steineke Professor and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsCurrent research activities: (1) model and simulate unstable miscible and immiscible fluid flow in heterogeneous porous media, (2) develop multiscale numerical solution algorithms for coupled mechanics and multiphase fluid flow in large-scale subsurface formations, and (3) develop stochastic solution methods that quantify the uncertainty associated with predictions of fluid-structure dynamics in porous media.
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Hawa Racine Thiam
Assistant Professor of Bioengineering and of Microbiology and Immunology
Current Research and Scholarly InterestsCellular Biophysical Mechanisms of Innate Immune Cells Functions
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Leif Thomas
Professor of Earth System Science and, by courtesy, of Civil and Environmental Engineering and of Oceans
Current Research and Scholarly InterestsPhysical oceanography; theory and numerical modeling of the ocean circulation; dynamics of ocean fronts and vortices; upper ocean processes; air-sea interaction.
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Fouad Tobagi
Professor of Electrical Engineering
BioTobagi works on network control mechanisms for handling multimedia traffic (voice, video and TCP- based applications) and on the performance assessment of networked multimedia applications using user-perceived quality measures. He also investigates the design of wireless networks, including QoS-based media access control and network resource management, as well as network architectures and infrastructures for the support of mobile users, all meeting the requirements of multimedia traffic. He also investigates the design of metropolitan and wide area networks combining optical and electronic networking technologies, including topological design, capacity provisioning, and adaptive routing.
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George Toye
Adjunct Professor
BioGeorge Toye, Ph.D., P.E., is adjunct professor in Mechanical Engineering at Stanford University.
While teaching advanced project-based engineering design thinking and STEM-based innovations at the graduate level as part of ME310, he also contributes to research in varied topics in engineering education, and effective globally-distributed team collaborations. As well, he remains active in entrepreneurship and varied advising/consulting work.
George earned his B.S. and M.S. degrees in Mechanical Engineering from U.C. Berkeley, and Ph.D. in Mechanical Engineering with minor in Electrical Engineering from Stanford University.
Since 1983, he has enjoyed volunteering annually to organize regional and state-level Mathcounts competitions to promote mathematics education amongst middle-school aged students. -
Caroline Trippel
Assistant Professor of Computer Science and of Electrical Engineering
BioCaroline Trippel is an Assistant Professor in the Computer Science and Electrical Engineering Departments at Stanford University working in the area of computer architecture. Prior to starting at Stanford, Trippel spent nine months as a Research Scientist at Facebook in the FAIR SysML group. Her work focuses on promoting correctness and security as first-order computer systems design metrics (akin to performance and power). A central theme of her work is leveraging formal methods techniques to design and verify hardware systems in order to ensure that they can provide correctness and security guarantees for the applications they intend to support. Additionally, Trippel has been recently exploring the role of architecture in enabling privacy-preserving machine learning, the role of machine learning in hardware systems optimizations, particularly in the context of neural recommendation, and opportunities for improving datacenter and at-scale machine learning reliability.
Trippel's research has influenced the design of the RISC-V ISA memory consistency model both via her formal analysis of its draft specification and her subsequent participation in the RISC-V Memory Model Task Group. Additionally, her work produced a novel methodology and tool that synthesized two new variants of the now-famous Meltdown and Spectre attacks.
Trippel's research has been recognized with IEEE Top Picks distinctions, the 2020 ACM SIGARCH/IEEE CS TCCA Outstanding Dissertation Award, and the 2020 CGS/ProQuest® Distinguished Dissertation Award in Mathematics, Physical Sciences, & Engineering. She was also awarded an NVIDIA Graduate Fellowship (2017-2018) and selected to attend the 2018 MIT Rising Stars in EECS Workshop. Trippel completed her PhD in Computer Science at Princeton University and her BS in Computer Engineering at Purdue University. -
Nick Troccoli
Lecturer
BioNick Troccoli is a Lecturer in the Stanford Computer Science Department. He started as a full-time lecturer at Stanford in Fall 2018, after graduating from Stanford in June 2018 with Bachelor's and Master's Degrees in Computer Science. He has taught CS106X, CS107, CS110 and CS111. In 2022, he was named to the Tau Beta Pi Teaching Honor Roll. During his undergraduate career, he specialized in Systems, and during his graduate career he specialized in Artificial Intelligence. He was heavily involved in teaching as both an undergraduate and graduate student; he was an undergraduate Section Leader in the CS 198 Section Leading Program, a graduate CA (Course Assistant) for CS 181, the Head TA for CS 106A and CS 106B, and the summer 2017 instructor for CS 106A. In 2017 he was awarded the Forsythe Teaching Award and the Centennial TA Award for excellence in teaching.
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Stephen Tsai
Professor (Research) of Aeronautics and Astronautics, Emeritus
BioProfessor Tsai's research interest is in the development of design methodology of composite materials and structures. As an emerging technology, composite materials offer unique performances for structures that combine light weight with durability. Keys to the successful utilization of composite materials are predictability in performance and cost effective design of anisotropic, laminated structures. Current emphasis is placed on the understanding of failure modes, and computer simulation for design and cost estimation.
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Edison Tse
Associate Professor of Management Science and Engineering, Emeritus
BioProfessor Edison Tse received his BS, MS, and Ph.D. in Electrical Engineering from Massachusetts Institute of Technology. He is the Director of Asia Center of Management Science and Engineering, which has the charter of developing executive training programs for executives in Asian enterprises, conducting research on development of the emerging economy in Asia and establishing research affiliations with Asian enterprises, with a special focus in Greater China: China, Hong Kong, and Taiwan.
In 1973, he received the prestigious Donald Eckman Award from the American Automatic Control Council in recognition of his outstanding contribution in the field of Automatic Control. He had served as an Associate Editor of the IEEE Transactions of Automatic Control, and a co-editor of the Journal of Economic Dynamics and Control, which he co-founded.
Professor Tse has done research in system and control engineering, economic dynamics and control, computer integrated systems to support fishery management policy decisions, management and control of manufacturing enterprise, and industrial competitive analysis and product development. Tse developed a framework for analyzing dynamic competitive strategy that would shape the formation of an ecosystem supporting a value proposition. Within such a framework, he developed dynamic strategies for firms entering an emerging market, latecomers entering a matured market, and firms managing transformation. Using this framework, he developed a new theory on the business transformation of a company and the economic transformation of a developing economy. He applied his theory to explain China’s rapid growth since 1978, changing from a production economy to an innovation economy. His current research is extending the theory to managing product success, managing inflection point disruptions, sustainable growth strategy in a dynamic changing environment, and industries’ strategy responding to geopolitics disruption. Over the years he has made valuable contributions in the field of engineering, economics, and business creation and expansion. He has published over 180 papers on his research activities.
From 2004- 2015, he co-directed various Stanford-China programs on regional industry and enterprise transformation that were attended by high level city officials from various cities in China and high level executives from Chinese enterprises. From 2007-2013, he co-directed a Stanford Financial Engineering Certificate Program in Hong Kong that upgrades the quality of managers and traders in the financial institutions in Hong Kong
He was a co-founder and a Board member of Advanced Decision System (ADS), a technology company with emphasis on AI and advanced decision tools. The company was found in 1979 and later acquired by Booz Allen and Hamilton in 1991. In 1988, Verity was spun off from ADS with AI search engine technology developed in ADS to provide enterprise search software. He was a Board member of Verity representing ADS before Verity went IPO in 1995. From 2007-2010, he was a Board member of KBC Fund Management Co., Ltd. -
Madeleine Udell
Assistant Professor of Management Science and Engineering and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsProfessor Udell develops new techniques to accelerate and automate data science,
with a focus on large-scale optimization and on data preprocessing,
and with applications in medical informatics, engineering system design, and automated machine learning. -
Johan Ugander
Associate Professor of Management Science and Engineering
BioProfessor Ugander's research develops algorithmic and statistical frameworks for analyzing social networks, social systems, and other large-scale data-rich contexts. He is particularly interested in the challenges of causal inference and experimentation in these complex domains. His work commonly falls at the intersections of graph theory, machine learning, statistics, optimization, and algorithm design.
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Jeffrey Ullman
Stanford Warren Ascherman Professor of Engineering , Emeritus
BioJeff Ullman is the Stanford W. Ascherman Professor of Engineering
(Emeritus) in the Department of Computer Science at Stanford and CEO
of Gradiance Corp. He received the B.S. degree from Columbia
University in 1963 and the PhD from Princeton in 1966. Prior to his
appointment at Stanford in 1979, he was a member of the technical
staff of Bell Laboratories from
1966-1969, and on the faculty of Princeton University between
1969 and 1979. From 1990-1994, he was chair of the Stanford Computer
Science Department. Ullman was elected to the National Academy of
Engineering in 1989, the American Academy of Arts and Sciences in
2012, and has held Guggenheim and Einstein Fellowships. He has
received the Sigmod Contributions Award (1996), the ACM Karl V. Karlstrom
Outstanding Educator Award (1998), the Knuth Prize (2000),
the Sigmod E. F. Codd Innovations award (2006), the IEEE von
Neumann medal (2010), and the NEC C&C Foundation Prize (2017).
He is the author of 16 books, including books
on database systems, compilers, automata theory, and algorithms. -
Camille Utterback
Associate Professor of Art and Art History and, by courtesy, of Computer Science
BioCamille Utterback is an internationally acclaimed artist whose interactive installations and reactive sculptures engage participants in a dynamic process of kinesthetic discovery and play. Utterback’s work explores the aesthetic and experiential possibilities of linking computational systems to human movement and gesture in layered and often humorous ways. Her work focuses attention on the continued relevance and richness of the body in our increasingly mediated world.
Her work has been exhibited at galleries, festivals, and museums internationally, including The Frist Center for Visual Arts, Nashville, TN; The Orange County Museum of Art, Newport Beach, CA; ZERO1 The Art & Technology Network, San Jose, CA; The New Museum of Contemporary Art, The American Museum of the Moving Image, New York; The NTT InterCommunication Center, Tokyo; The Seoul Metropolitan Museum of Art; The Netherlands Institute for Media Art; The Taipei Museum of Contemporary Art; The Center for Contemporary Art, Kiev, Ukraine; and the Ars Electronica Center, Austria. Utterback’s work is in private and public collections including Hewlett Packard, Itaú Cultural Institute in São Paolo, Brazil, and La Caixa Foundation in Barcelona, Spain.
Awards and honors include a MacArthur Foundation Fellowship (2009), a Transmediale International Media Art Festival Award (2005), a Rockefeller Foundation New Media Fellowship (2002) and a commission from the Whitney Museum for the CODeDOC project on their ArtPort website (2002). Utterback holds a US patent for a video tracking system she developed while working as a research fellow at New York University (2004). Her work has been featured in The New York Times (2010, 2009, 2003, 2002, 2001), Art in America (October, 2004), Wired Magazine (February 2004), ARTnews (2001) and many other publications. It is also included in Thames & Hudson’s World of Art – Digital Art book (2003) by Christiane Paul.
Recent public commissions include works for the Liberty Mutual Group, the FOR-SITE Foundation, The Sacramento Airport, The City of San Jose, California, The City of Fontana, California, and the City of St. Louis Park, Minnesota. Other commissions include projects for The American Museum of Natural History in New York, The Pittsburgh Children’s Museum, The Manhattan Children’s Museum, Herman Miller, Shiseido Cosmetics, and other private corporations.
Utterback is currently an Assistant Professor in the Art and Art History Department at Stanford University. She holds a BA in Art from Williams College, and a Masters degree from The Interactive Telecommunications Program at New York University’s Tisch School of the Arts. She currently lives and works in San Francisco. -
Melissa Valentine
Associate Professor of Management Science and Engineering
Current Research and Scholarly InterestsAs societies develop and adopt new technologies, they fundamentally change how work is organized. The intertwined relationship between technology and organizing has played out time and again, and scholars predict that new internet and data analytic technologies will spur disruptive transformations to work and organizing.
These changes are already well-documented in the construction of new market arrangements by companies such as Upwork and TaskRabbit, which defined new categories of “gig workers.” Yet less is known about how internet and data analytic technologies are transforming the design of large, complex organizations, which confront and solve much different coordination problems than gig platform companies.
Questions related to the structuring of work in bureaucratic organizations have been explored for over a century in the industrial engineering and organizational design fields. Some of these concepts are now so commonplace as to be taken for granted. Yet there was a time when researchers, workers, managers, and policymakers defined and constructed concepts including jobs, careers, teams, managers, or functions.
My research program argues that some of these fundamental concepts need to be revisited in light of advances in internet and data analytic technologies, which are changing how work is divided and integrated in organizations and broader societies. I study how our prior notions of jobs, teams, departments, and bureaucracy itself are evolving in the age of crowdsourcing, algorithms, and increasing technical specialization. In particular, my research is untangling how data analytic technologies and hyper-specialization shape the division and integration of labor in complex, collaborative production efforts characteristic of organizations. -
Gregory Valiant
Associate Professor of Computer Science
Current Research and Scholarly InterestsMy primary research interests lie at the intersection of algorithms, learning, applied probability, and statistics. I am particularly interested in understanding the algorithmic and information theoretic possibilities and limitations for many fundamental information extraction tasks that underly real-world machine learning and data-centric applications.
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Benjamin Van Roy
Professor of Electrical Engineering, of Management Science and Engineering and, by courtesy, of Computer Science
BioBenjamin Van Roy is a Professor at Stanford University, where he has served on the faculty since 1998. His current research focuses on reinforcement learning. Beyond academia, he leads a DeepMind Research team in Mountain View, and has also led research programs at Unica (acquired by IBM), Enuvis (acquired by SiRF), and Morgan Stanley.
He is a Fellow of INFORMS and IEEE and has served on the editorial boards of Machine Learning, Mathematics of Operations Research, for which he co-edited the Learning Theory Area, Operations Research, for which he edited the Financial Engineering Area, and the INFORMS Journal on Optimization. He received the SB in Computer Science and Engineering and the SM and PhD in Electrical Engineering and Computer Science, all from MIT, where his doctoral research was advised by John N. Tstitsiklis. He has been a recipient of the MIT George C. Newton Undergraduate Laboratory Project Award, the MIT Morris J. Levin Memorial Master's Thesis Award, the MIT George M. Sprowls Doctoral Dissertation Award, the National Science Foundation CAREER Award, the Stanford Tau Beta Pi Award for Excellence in Undergraduate Teaching, the Management Science and Engineering Department's Graduate Teaching Award, and the Lanchester Prize. He was the plenary speaker at the 2019 Allerton Conference on Communications, Control, and Computing. He has held visiting positions as the Wolfgang and Helga Gaul Visiting Professor at the University of Karlsruhe, the Chin Sophonpanich Foundation Professor and the InTouch Professor at Chulalongkorn University, a Visiting Professor at the National University of Singapore, and a Visiting Professor at the Chinese University of Hong Kong, Shenzhen. -
Tiziana Vanorio
Associate Professor of Earth and Planetary Sciences and, by courtesy, of Civil and Environmental Engineering
On Leave from 10/01/2024 To 12/31/2024Current Research and Scholarly InterestsRock Physics, Fossil Energy Exploration, Volcanic and Geothermal Environments and Microseismicity
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Andras Vasy
Robert Grimmett Professor of Mathematics
Current Research and Scholarly InterestsMy research concentrates on topics in two broad areas of applications of microlocal analysis in which, partly with collaborators, I introduced new ideas in recent years: non-elliptic linear and non-linear partial differential equations (PDE), typically concerning wave propagation or other related phenomena, and inverse problems for X-ray type transforms along geodesics and related problems for determining the metric tensor from boundary measurements.
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Ross Daniel Venook
Senior Lecturer of Bioengineering
BioRoss is a Senior Lecturer in the Bioengineering department and he is the Associate Director for Engineering at the Stanford Byers Center for Biodesign.
Ross primarily co-leads undergraduate laboratory courses at Stanford—an instrumentation lab (BIOE123) and an open-ended capstone design lab sequence (BIOE141A/B)—and he supports other courses and runs hands-on workshops in the areas of prototyping and systems engineering related to medical device innovation. He enjoys the unique challenges and constraints offered by biomedical engineering projects, and he delights in the opportunity for collaborative learning in a problem-solving environment.
An Electrical Engineer by training (Stanford BS, MS, PhD), Ross’ graduate work focused on building and applying new types of MRI hardware for interventional and device-related uses. Following a Biodesign Innovation fellowship, Ross helped to start the MRI safety program at Boston Scientific Neuromodulation, where he worked for 15 years to enable safe MRI access for patients with implanted medical devices--including collaboration across the MRI safety community to create and improve international standards. -
Jelena Vuckovic
Jensen Huang Professor of Global Leadership, Professor of Electrical Engineering and, by courtesy, of Applied Physics
Current Research and Scholarly InterestsJelena Vuckovic’s research interests are broadly in the areas of nanophotonics, quantum and nonlinear optics. Her lab develops semiconductor-based photonic chip-scale systems with goals to probe new regimes of light-matter interaction, as well as to enable platforms for future classical and quantum information processing technologies. She also works on transforming conventional photonics with the concept of inverse design, where optimal photonic devices are designed from scratch using computer algorithms with little to no human input. Her current projects include quantum and nonlinear optics, cavity QED, and quantum information processing with color centers in diamond and in silicon carbide, heterogeneously integrated chip-scale photonic systems, and on-chip laser driven particle accelerators.
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Keiko Waki
Visiting Associate Professor, Materials Science and Engineering
BioKeiko Waki, as an associate professor of Tokyo Institute of Technology (TIT) in Japan, has worked extensively with her group on controlling the defects of carbon nanotubes and nano materials for integrating new materials into emerging technologies in the field of fuel cells and solar cells. Now, she is working with Prof. Dauskardt's group in Stanford Materials Science and Engineering on the plasma-assisted film processing for various device technologies as a visiting associate professor.
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Ken Waldron
Professor (Research) of Mechanical Engineering, Emeritus
BioKenneth J. Waldron is Professor of Mechanical and Mechatronic Engineering at UTS. He is also Professor Emeritus from the Design Group in the Department of Mechanical Engineering of Stanford University. He holds bachelors and masters degrees from the University of Sydney, and PhD from Stanford. He works in machine design, and design methodology with a particular focus on robotic and mechatronic systems.
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Todd Walter
Professor (Research) of Aeronautics and Astronautics
Current Research and Scholarly InterestsHigh integrity satellite navigation for guiding aircraft, including satellite based augmentation systems (SBAS) and advanced receiver autonomous integrity monitoring (ARAIM).
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Brian A. Wandell
Isaac and Madeline Stein Family Professor and Professor, by courtesy, of Electrical Engineering, of Ophthalmology and of Education
Current Research and Scholarly InterestsModels and measures of the human visual system. The brain pathways essential for reading development. Diffusion tensor imaging, functional magnetic resonance imaging and computational modeling of visual perception and brain processes. Image systems simulations of optics and sensors and image processing. Data and computation management for reproducible research.
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Adam Wang
Assistant Professor of Radiology and, by courtesy, of Electrical Engineering
BioMy research group develops technologies for advanced x-ray and CT imaging, including artificial intelligence for CT acquisition, reconstruction, and image processing; spectral imaging, including photon counting CT (PCCT) and dual-layer flat-panel detectors; novel system and detector designs; and their applications in diagnostic imaging and image-guided procedures. I am also the Director of the Photon Counting CT Lab, Zeego Lab, and Tabletop X-Ray Lab.
I completed my PhD in Electrical Engineering at Stanford, developing strategies for maximizing the information content of dual energy CT and photon counting detectors. I then pursued a postdoctoral fellowship at Johns Hopkins in the I-STAR Lab, developing reconstruction and registration methods for x-ray based image-guided surgery. I was then a Senior Scientist at Varian Medical Systems, developing x-ray/CT methods for image-guided radiation therapy, before returning to Stanford in 2018, where I now lead a comprehensive research program in advanced x-ray and CT imaging systems and methods, with funding from NIH, DOD, DOE, and industry partners. -
Bo Wang
Assistant Professor of Bioengineering and, by courtesy, Developmental Biology
Current Research and Scholarly InterestsResearch interests:
(1) Systems biology of whole-body regeneration
(2) Cell type evolution through the lens of single-cell multiomic sequencing analysis
(3) Quantitative biology of brain regeneration
(4) Regeneration of animal-algal photosymbiotic systems -
Ge Wang
Associate Professor of Music, Senior Fellow at the Stanford Institute for HAI and Associate Professor, by courtesy, of Computer Science
BioGe Wang is an Associate Professor at Stanford University in the Center for Computer Research in Music and Acoustics (CCRMA). He specializes in the art of design and computer music — researching programming languages and interactive software design for music, interaction design, mobile music, laptop orchestras, expressive design of virtual reality, aesthetics of music technology design, and education at the intersection of computer science and music. Ge is the author of the ChucK music programming language, the founding director of the Stanford Laptop Orchestra (SLOrk). Ge is also the Co-founder of Smule (reaching over 200 million users), and the designer of the iPhone's Ocarina and Magic Piano. Ge is a 2016 Guggenheim Fellow, and the author of ARTFUL DESIGN: TECHNOLOGY IN SEARCH OF THE SUBLIME—a book on design and technology, art and life‚ published by Stanford University Press in 2018 (see https://artful.design/)
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Hai Wang
Professor of Mechanical Engineering
BioHai Wang is Professor of Mechanical Engineering at Stanford University. His research interests are high-speed propulsion, combustion, and renewable energy conversion. His current research topics include combustion chemistry of conventional and renewable fuels, detonation, high-speed propulsion, quantum-chemistry guided battery materials design, transport theories. He is the author and coauthor of recent papers in scholarly journals, including "Stable sodium-sulfur electrochemistry enabled by phosphorus-based complexation" in PNAS, “Geometric modeling and analysis of detonation cellular stability" in Proceedings of the Combustion Institute, "Flame-formed carbon nanoparticles exhibit quantum dot behaviors" in PNAS, "Nanoparticles in dilute gases: Equivalence of momentum accommodation and surface adsorption" in Physical Review E, "A Physics-based approach to modeling real-fuel combustion chemistry. I. Evidence from experiments, and thermodynamic, chemical kinetic and statistical considerations" in Combustion and Flame, and “Formation of nascent soot and other condensed-phase materials in flames” in Proceedings of the Combustion Institute. He is currently the Editor-in-Chief of Progress in Energy and Combustion Science, a highly influential energy journal published by Elsevier with an impact factor of 35.3 (2021), and the Vice President (President-Elect) of the Combustion Institute.
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Paul J. Wang, MD
John R. and Ai Giak L. Singleton Director, Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsDr. Wang's research centers on the development of innovative approaches to the treatment of arrhythmias, including more effective catheter ablation techniques, more reliable implantable devices, and less invasive treatments. Dr. Wang's clinical research interests include atrial fibrillation, ventricular tachycardia, syncope, and hypertrophic cardiomyopathy. Dr. Wang is committed to addressing disparities in care and is actively involved in increasing diversity in clinical trials.
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Shan X. Wang
Leland T. Edwards Professor in the School of Engineering and Professor of Electrical Engineering and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsShan Wang was named the Leland T. Edwards Professor in the School of Engineering in 2018. He directs the Center for Magnetic Nanotechnology and is a leading expert in biosensors, information storage and spintronics. His research and inventions span across a variety of areas including magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors.
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Robert Waymouth
Robert Eckles Swain Professor of Chemistry and Professor, by courtesy, of Chemical Engineering
BioRobert Eckles Swain Professor in Chemistry Robert Waymouth investigates new catalytic strategies to create useful new molecules, including bioactive polymers, synthetic fuels, and sustainable plastics. In one such breakthrough, Professor Waymouth and Professor Wender developed a new class of gene delivery agents.
Born in 1960 in Warner Robins, Georgia, Robert Waymouth studied chemistry and mathematics at Washington and Lee University in Lexington, Virginia (B.S. and B.A., respectively, both summa cum laude, 1982). He developed an interest in synthetic and mechanistic organometallic chemistry during his doctoral studies in chemistry at the California Institute of Technology under Professor R.H. Grubbs (Ph.D., 1987). His postdoctoral research with Professor Piero Pino at the Institut fur Polymere, ETH Zurich, Switzerland, focused on catalytic hydrogenation with chiral metallocene catalysts. He joined the Stanford University faculty as assistant professor in 1988, becoming full professor in 1997 and in 2000 the Robert Eckles Swain Professor of Chemistry.
Today, the Waymouth Group applies mechanistic principles to develop new concepts in catalysis, with particular focus on the development of organometallic and organic catalysts for the synthesis of complex macromolecular architectures. In organometallic catalysis, the group devised a highly selective alcohol oxidation catalyst that selectively oxidizes unprotected polyols and carbohydrates to alpha-hyroxyketones. In collaboration with Dr. James Hedrick of IBM, we have developed a platform of highly active organic catalysts and continuous flow reactors that provide access to polymer architectures that are difficult to access by conventional approaches.
The Waymouth group has devised selective organocatalytic strategies for the synthesis of functional degradable polymers and oligomers that function as "molecular transporters" to deliver genes, drugs and probes into cells and live animals. These advances led to the joint discovery with the Wender group of a general, safe, and remarkably effective concept for RNA delivery based on a new class of synthetic cationic materials, Charge-Altering Releasable Transporters (CARTs). This technology has been shown to be effective for mRNA based cancer vaccines. -
Itschak Weissman
Robert and Barbara Kleist Professor in the School of Engineering
BioTsachy's research focuses on Information Theory, Data Compression and Communications, Statistical Signal Processing, Machine Learning, the interplay between them, and their applications, with recent focus on applications to genomic data compression and processing. He is inventor of several patents and involved in several companies as member of the technical board. IEEE fellow, he serves on the board of governors of the information theory society as well as the editorial boards of the Transactions on Information Theory and Foundations and Trends in Communications and Information Theory. He is founding Director of the Stanford Compression Forum.
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Gordon Wetzstein
Associate Professor of Electrical Engineering and, by courtesy, of Computer Science
BioGordon Wetzstein is an Associate Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab and a faculty co-director of the Stanford Center for Image Systems Engineering. At the intersection of computer graphics and vision, artificial intelligence, computational optics, and applied vision science, Prof. Wetzstein's research has a wide range of applications in next-generation imaging, wearable computing, and neural rendering systems. Prof. Wetzstein is a Fellow of Optica and the recipient of numerous awards, including an NSF CAREER Award, an Alfred P. Sloan Fellowship, an ACM SIGGRAPH Significant New Researcher Award, a Presidential Early Career Award for Scientists and Engineers (PECASE), an SPIE Early Career Achievement Award, an Electronic Imaging Scientist of the Year Award, an Alain Fournier Ph.D. Dissertation Award as well as many Best Paper and Demo Awards.
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John Weyant
Professor (Research) of Management Science and Engineering and of Energy Science Engineering
BioJohn P. Weyant is Professor of Management Science and Engineering and Director of the Energy Modeling Forum (EMF) at Stanford University. He is also a Senior Fellow of the Precourt Institute for Energy and an an affiliated faculty member of the Stanford School of Earth, Environment and Energy Sciences, the Woods Institute for the Environment, and the Freeman-Spogli Institute for International Studies at Stanford. His current research focuses on analysis of multi-sector, multi-region coupled human and earth systems dynamics, global change systems analysis, energy technology assessment, and models for strategic planning.
Weyant was a founder and serves as chairman of the Integrated Assessment Modeling Consortium (IAMC), a seventeen-year old collaboration among over 60 member institutions from around the world. He has been an active adviser to the United Nations, the European Commission, U.S.Department of Energy, the U.S. Department of State, and the Environmental Protection Agency. In California, he has been and adviser to the California Air Resources, the California Energy Commission and the California Public Utilities Commission..
Weyant was awarded the US Association for Energy Economics’ 2008 Adelmann-Frankel award for unique and innovative contributions to the field of energy economics and the award for outstanding lifetime contributions to the Profession for 2017 from the International Association for Energy Economics, and a Life Time Achievement award from the Integrated Assessment Modeling Consortium in 2018. Weyant was honored in 2007 as a major contributor to the Nobel Peace prize awarded to the Intergovernmental Panel on Climate Change and in 2008 by Chairman Mary Nichols for contributions to the to the California Air Resources Board's Economic and Technology Advancement Advisory Committee on AB 32.
Fields of Specialization:
Energy/Environmental Policy Analysis, Strategic Planning
Interests:
Overall goal is to accelerate the use of systems models at state, country, and global scales, aiming to provide the best available information and insights to government and private-sector decision makers. Specific areas include energy, climate change, and sustainable development policy, including emerging technologies and market design alternatives. Draws on concepts and techniques from science and engineering fundamentals (e.g., thermodynamics, fluid mechanics, materials science, and electrical power systems), operations research, economics, finance, and decision theory. -
Jennifer Widom
Frederick Emmons Terman Dean of the School of Engineering, Fletcher Jones Professor of Computer Science and Professor of Electrical Engineering
BioJennifer Widom is the Frederick Emmons Terman Dean of the School of Engineering and the Fletcher Jones Professor in Computer Science and Electrical Engineering at Stanford University. She served as Computer Science Department Chair from 2009-2014 and School of Engineering Senior Associate Dean from 2014-2016. Jennifer received her Bachelor's degree from the Indiana University Jacobs School of Music in 1982 and her Computer Science Ph.D. from Cornell University in 1987. She was a Research Staff Member at the IBM Almaden Research Center before joining the Stanford faculty in 1993. Her research interests span many aspects of nontraditional data management. She is an ACM Fellow and a member of the National Academy of Engineering and the American Academy of Arts & Sciences; she received a Guggenheim Fellowship in 2000, the ACM SIGMOD Edgar F. Codd Innovations Award in 2007, the ACM-W Athena Lecturer Award in 2015, and the EPFL-WISH Foundation Erna Hamburger Prize in 2018.
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Bernard Widrow
Professor of Electrical Engineering, Emeritus
Current Research and Scholarly InterestsProf. Widrow's research focuses on adaptive signal processing, adaptive control systems, adaptive neural networks, human memory, and human-like memory for computers. Applications include signal processing, prediction, noise cancelling, adaptive arrays, control systems, and pattern recognition. Recent work is about human learning at the synaptic level.
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Terry Winograd
Professor of Computer Science, Emeritus
BioProfessor Winograd's focus is on human-computer interaction design and the design of technologies for development. He directs the teaching programs and HCI research in the Stanford Human-Computer Interaction Group, which recently celebrated it's 20th anniversary. He is also a founding faculty member of the Hasso Plattner Institute of Design at Stanford (the "d.school") and on the faculty of the Center on Democracy, Development, and the Rule of Law (CDDRL)
Winograd was a founding member and past president of Computer Professionals for Social Responsibility. He is on a number of journal editorial boards, including Human Computer Interaction, ACM Transactions on Computer Human Interaction, and Informatica. He has advised a number of companies started by his students, including Google. In 2011 he received the ACM SIGCHI Lifetime Research Award. -
Keith Winstein
Associate Professor of Computer Science and, by courtesy, of Electrical Engineering
BioKeith Winstein is an associate professor of computer science and, by courtesy, of electrical engineering at Stanford University. His research group creates new kinds of networked systems by rethinking abstractions around communication, compression, and computing. Some of his group’s research has found broader use, including the Mosh tool, the Puffer video-streaming site, the Lepton compression tool, the Mahimahi network emulators, and the gg lambda-computing framework. He has received the SIGCOMM Rising Star Award, the Sloan Research Fellowship, the NSF CAREER Award, the Usenix NSDI Community Award (2020, 2017), the Usenix ATC Best Paper Award, the Applied Networking Research Prize, the SIGCOMM Doctoral Dissertation Award, and a Sprowls award for best doctoral thesis in computer science at MIT. Winstein previously served as a staff reporter at The Wall Street Journal and worked at Ksplice, a startup company (now part of Oracle) where he was the vice president of product management and business development and also cleaned the bathroom. He did his undergraduate and graduate work at MIT.
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Christina R Wodtke
Lecturer
BioChristina Wodtke is an author, speaker, and lecturer at Stanford with insight into human innovation and high-performing teams. Her resume includes re-design and initial product offerings with LinkedIn, MySpace, Zynga, Yahoo! and others, as well as founding three startups, an online design magazine called Boxes and Arrows, and co-founding the Information Architecture Institute.
Christina uses the power of story to connect with audiences and readers through her worldwide speaking engagements and her Amazon category-bestselling books. Her bestselling book, Radical Focus, tackles the OKR movement and startup culture with an eye to getting the right things done. Her other books include The Team that Managed Itself, Information Architecture: Blueprints for the Web and Pencil Me In (on visual thinking for the workplace.) Christina’s work is personable, insightful, knowledgeable, and engaging. Find out more information (and get your Focus worksheet) at cwodtke.com. -
Rahel Woldeyes
Basic Life Research Scientist
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.
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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. -
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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Joseph Woo, MD, FACS, FACC, FAHA
Norman E. Shumway Professor, Professor of Cardiothoracic Surgery and, by courtesy, of Bioengineering
BioDr. Woo is a board-certified, fellowship-trained cardiothoracic surgeon, cardiovascular surgeon, and transplant surgeon with Stanford Health Care. He is professor and chair of the Stanford Medicine Department of Cardiothoracic Surgery and associate director of the Stanford Cardiovascular Institute. He is also the Norman E. Shumway Professor of Cardiothoracic Surgery and professor, by courtesy, in the Department of Bioengineering.
Dr. Woo is a nationally recognized surgeon, innovator, researcher, and educator in cardiothoracic surgery. He focuses on complex mitral and aortic valve repair, thoracic aortic surgery, heart and lung transplantation, and minimally invasive heart surgery. He was awarded the American Heart Association’s 2021 Clinical Research Prize for developing innovative and minimally invasive surgeries to repair and reconstruct heart valves.
In 2022, Dr. Woo and his team at Stanford Health Care performed the first beating-heart transplant from a donation after circulatory death (DCD) donor and organ perfusion system. Keeping a donor heart pumping while it’s transported to the recipient and then implanting the heart while it’s beating minimizes organ damage. This groundbreaking new procedure is expected to increase the number of hearts available for transplant while improving health outcomes.
As a physician-scientist, Dr. Woo has served as principal investigator on multiple studies funded by National Institutes of Health (NIH) grants. One explored an innovative therapy to stimulate vascular (blood-carrying) stem cells in the bone marrow and direct them to the heart to grow new blood vessels and improve blood flow to damaged heart muscle.
Dr. Woo has also been the primary investigator for clinical trials involving the administration of stem cells during coronary artery bypass grafting (CABG) and left ventricular assist device (LVAD) implantation. In addition, Dr. Woo has served as primary investigator for multiple clinical device trials. He has filed for and holds patents for several heart-related medical devices and surgical techniques.
Dr. Woo has co-authored more than 450 articles in peer-reviewed journals and has served as a reviewer for many of them, including the Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, and Circulation. He has also presented his research and performed live surgery demonstrations both nationally and internationally.
Dr. Woo serves as vice president of the American Association for Thoracic Surgery (AATS) and past president of the AATS Cardiac Surgery Biology Club. He is a fellow of the American College of Surgeons, American College of Cardiology, and American Heart Association. He is a member of many other professional societies, including the World Society of Cardiovascular and Thoracic Surgeons and International Society for Heart Research. He also serves on the leadership committee of the American Heart Association’s Council on Cardiovascular Surgery and Anesthesia. -
Bruce A. Wooley
The Robert L. and Audrey S. Hancock Professor in the School of Engineering, Emeritus
BioBruce Wooley is the Robert L. and Audrey S. Hancock Professor of Engineering, Emeritus, in the Department of Electrical Engineering at Stanford University. He received a Ph.D. degree in Electrical Engineering from the University of California, Berkeley in 1970, and from 1970 to 1984 he was a member of the research staff at Bell Laboratories in Holmdel, NJ. He joined the faculty at Stanford in 1984. At Stanford he has served as the Chair of the Department of Electrical Engineering, the Senior Associate Dean of Engineering and the Director of the Integrated Circuits Laboratory. His research is in the field of integrated circuit design, where his interests include low-power mixed-signal circuit design, oversampling analog-to-digital and digital-to-analog conversion, circuit design techniques for video and image data acquisition, high-speed embedded memory, high-performance packaging and testing, and circuits for wireless and wireline communications.
Prof. Wooley is a Fellow of the IEEE and a past President of the IEEE Solid-State Circuits Society. He has served as the Editor of the IEEE Journal of Solid-State Circuits and as the Chairman of both the International Solid-State Circuits Conference (ISSCC) and the Symposium on VLSI Circuits. Awards he has received include the University Medal from the University of California, Berkeley, the IEEE Journal of Solid-State Circuits Best Paper Award, the Outstanding Alumnus Award from the EECS Department at the University of California, Berkeley, and the IEEE Donald O. Pederson Award in Solid-State Circuits. -
Jiajun Wu
Assistant Professor of Computer Science and, by courtesy, of Psychology
BioJiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University, working on computer vision, machine learning, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Wu's research has been recognized through the Young Investigator Programs (YIP) by ONR and by AFOSR, the NSF CAREER award, the Okawa research grant, paper awards and finalists at ICCV, CVPR, SIGGRAPH Asia, CoRL, and IROS, dissertation awards from ACM, AAAI, and MIT, the 2020 Samsung AI Researcher of the Year, and faculty research awards from J.P. Morgan, Samsung, Amazon, and Meta.
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Lei Xing
Jacob Haimson and Sarah S. Donaldson Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly Interestsartificial intelligence in medicine, medical imaging, Image-guided intervention, molecular imaging, biology guided radiation therapy (BGRT), treatment plan optimization
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Kuang Xu
Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering
On Leave from 10/07/2024 To 09/19/2025BioKuang Xu is an Associate Professor of Operations, Information and Technology at Stanford Graduate School of Business, and Associate Professor by courtesy with the Electrical Engineering Department, Stanford University. Born in Suzhou, China, he received the B.S. degree in Electrical Engineering (2009) from the University of Illinois at Urbana-Champaign, and the Ph.D. degree in Electrical Engineering and Computer Science (2014) from the Massachusetts Institute of Technology.
His research primarily focuses on understanding fundamental properties and design principles of large-scale stochastic systems using tools from probability theory and optimization, with applications in queueing networks, healthcare, privacy and machine learning. He received First Place in the INFORMS George E. Nicholson Student Paper Competition (2011), the Best Paper Award, as well as the Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS (2013), and the ACM SIGMETRICS Rising Star Research Award (2020). He currently serves as an Associate Editor for Operations Research and Management Science. -
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. -
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
Current Research and Scholarly InterestsYang lab's research interests are in the areas of bio-inspired biomaterials, medical devices, and 3D printing approaches for re-creating a suitable microenvironment for cell growth and tissue regeneration for musculoskeletal disease diagnosis and treatment, including multiple tissue healing such as rotator cuff injury, orthopedic diseases such as osteoporosis and osteonecrosis, and orthopedic traumas such as massive bone and muscle 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. -
Rozie Zangeneh
Physical Science Research Scientist
BioDr. Rozie Zangeneh is a physical science research scientist working with Prof. Ali Mani at the Department of Mechanical Engineering. She was formerly a research scientist at the Center for Hybrid Rocket Exascale Simulation Technology at the University at Buffalo (UB), where she worked with Prof. Desjardin on the development of a wall model for turbulent reacting flows with strong surface mass transfer pertaining to liquifying fuels of hybrid rockets.
Rozie received her Ph.D. in Mechanical Engineering from the University of Maine. Her primary research interests are high-performance computing of turbulent boundary layers and high-speed aerothermodynamics. -
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 and Urban Studies programs 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). 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 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, which placed rarely seen materials from the Alison and Peter Smithson Archive in dialogue with experimental projects by Abalos & Herreros, b+, Shigeru Ban, Ensamble Studio, Lacaton & Vassal, Office for Metropolitan Architecture, Rotor, and others.
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, 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. -
Renee Zhao
Assistant Professor of Mechanical Engineering and, by courtesy, 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. Renee received her BS degree from Xi'an Jiaotong University in 2012, and her MS and PhD degrees from Brown University in 2014 and 2016, respectively. She was a postdoc associate at MIT during 2016-2018 prior to her appointment as an Assistant Professor in the Department of Mechanical and Aerospace Engineering at The Ohio State University from 2018 to 2021.
Renee’s research focuses on the development of stimuli-responsive soft composites for multifunctional robotic systems with integrated shape-changing, assembling, sensing, and navigation. By combining mechanics, polymer engineering, and advanced material manufacturing techniques, the functional soft composites enable applications in soft robotics, miniaturized biomedical devices, flexible electronics, and deployable and morphing structures.
Renee is a recipient of the 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). -
Xiaolin Zheng
Professor of Mechanical Engineering, of Energy Science Engineering and, 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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Claudia Zielke
Basic Life Research Scientist
BioAfter a BS and MS in Chemistry from the Freie Universität Berlin, Germany, I used my expertise in physical and analytical Chemistry to received a PhD from the Department of Food Technology, Engineering and Nutrition at Lund's University in Sweden. I specialized within the Field-Flow Fractionation family, a very versatile and gentle separation technique able to separate large size ranges, from nanometer up to several micrometer. My thesis was titled "On the Aggregation of Cereal β-Glucan and its Association with other Biomolecules: A Study using Asymmetric Flow Field-Flow Fractionation (AF4)". After a postdoctoral position at Santa Clara University, CA, USA, I am now setting up an Asymmetric Flow Field-Flow Fractionation system with several detectors in the Barron Lab, BioE, here at Stanford.
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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.
