School of Engineering
Showing 501-600 of 704 Results
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Kilian M Pohl
Professor (Research) of Psychiatry and Behavioral Sciences (Major Labs and Incubator) and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsThe foundation of the laboratory of Associate Professor Kilian M. Pohl, PhD, is computational science aimed at identifying biomedical phenotypes improving the mechanistic understanding, diagnosis, and treatment of neuropsychiatric disorders. The biomedical phenotypes are discovered by unbiased, machine learning-based searches across biological, neuroimaging, and neuropsychological data. This data-driven discovery currently supports the adolescent brain research of the NIH-funded National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) and the Adolescent Brain Cognitive Development (ABCD), the largest long-term study of brain development and child health in the US. The laboratory also investigates brain patterns specific to alcohol use disorder and the human immunodeficiency virus (HIV) across the adult age range, and have advanced the understanding of a variety of brain diseases including schizophrenia, Alzheimer’s disease, glioma, and aging.
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Ada Poon
Associate Professor of Electrical Engineering
Current Research and Scholarly InterestsOur research focuses on providing theoretical foundations and engineering platforms for realizing electronics that seamlessly integrate with the body. Such systems will allow precise recording or modulation of physiological activity, for advancing basic scientific discovery and for restoring or augmenting biological functions for clinical applications.
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Eric Pop
Pease-Ye Professor, Professor of Electrical Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering and of Applied Physics
Current Research and Scholarly InterestsThe Pop Lab explores problems at the intersection of nanoelectronics and nanoscale energy conversion. These include fundamental limits of current and heat flow, energy-efficient transistors and memory, and energy harvesting via thermoelectrics. The Pop Lab also works with novel nanomaterials like carbon nanotubes, graphene, BN, MoS2, and their device applications, through an approach that is experimental, computational and highly collaborative.
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J David Powell
Professor of Aeronautics and Astronautics and of Mechanical Engineering, Emeritus
BioEDUCATION:
1960 - B.S. Mechanical Engineering, M.I.T.
1966 - M.S. Aeronautics & Astronautics, Stanford
1970 - Ph.D. Aeronautics & Astronautics, Stanford
EXPERIENCE:
1960-1961 - Engine Design and Testing Engineer at Outboard Marine Corp.
1961-1967 – Engineer at Lockheed in the field of Aerospace Guidance and Control
1967-1968 – Engineer at Analytical Mechanics Associates
1968-1970 – Engineer, Systems Control, Inc. Parameter ID of aircraft models from flight data, automatic generation of approach paths for Air Traffic Control. Attended Stanford University specializing in control systems.
1971 – 1998 – Member of the Stanford Faculty in the Aeronautics and Astronautics Department. His research has included spacecraft pointing, space tether dynamics and control, internal combustion engine control, the design of aerospace digital flight control systems, GPS-based attitude determination augmented with inertial sensors, and the use of GPS for air and land vehicle surveillance and navigation. He taught courses in aerospace control including radio and inertial navigation, optimization and digital implementations and is a coauthor of two of the leading control textbooks. He is also an author or coauthor on over 100 papers.
1998 – present – Emeritus faculty carrying out research in Aeronautics and Astronautics at Stanford Univ. Recent focus of research is the use of GPS-based attitude determination augmented with inertial sensors, applications of the FAA’s WAAS for enhanced pilot displays, flight inspection of aircraft landing systems, and the use of WAAS and new displays to enable closer spacing of parallel runways.
SOCIETY MEMBERSHIPS
AIAA (Fellow), ASME (Fellow), SAE, IEEE, ION
CONSULTANT TO: (over past several years)
Seagull Technology
Sequoia Instruments
Engine Control and Monitoring
Transparent Networks
Pratt and Whitney (Technical Advisory Committee)
Sensor Platforms
OTHER RECENT ACTIVITIES
Co-Founder, CEO, and Director of GyroSat Corp. 1999 – 2000
Director of Sequoia Instruments, 2001 – 2005
Aircraft owner and licensed instrument pilot
National Research Council Panel member for the review of NASA airspace activities, 2003
Board of Directors, Mechanics Bank, Richmond, CA., 2003 – 2015
Board of Directors, ExactBid, Inc. 2014-present. -
Balaji Prabhakar
VMware Founders Professor of Computer Science, Professor of Electrical Engineering and, by courtesy, of Operations, Information and Technology at the Graduate School of Business
BioPrabhakar's research focuses on the design, analysis, and implementation of data networks: both wireline and wireless. He has been interested in designing network algorithms, problems in ad hoc wireless networks, and designing incentive mechanisms. He has a long-standing interest in stochastic network theory, information theory, algorithms, and probability theory.
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Manu Prakash
Associate Professor of Bioengineering, Senior Fellow at the Woods Institute for the Environment and Associate Professor, by courtesy, of Oceans and of Biology
BioWe use interdisciplinary approaches including theory and experiments to understand how computation is embodied in biological matter. Examples include cognition in single cell protists and morphological computing in animals with no neurons and origins of complex behavior in multi-cellular systems. Broadly, we invent new tools for studying non-model organisms with significant focus on life in the ocean - addressing fundamental questions such as how do cells sense pressure or gravity? Finally, we are dedicated towards inventing and distributing “frugal science” tools to democratize access to science (previous inventions used worldwide: Foldscope, Abuzz), diagnostics of deadly diseases like malaria and convening global citizen science communities to tackle planetary scale environmental challenges such as mosquito surveillance or plankton surveillance by citizen sailors mapping the ocean in the age of Anthropocene.
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Friedrich Prinz
Leonardo Professor, Professor of Mechanical Engineering, of Materials Science and Engineering and Senior Fellow at the Precourt Institute for Energy
BioFritz Prinz is the Leonardo Professor in the School of Engineering at Stanford University, Professor of Materials Science and Engineering, Professor of Mechanical Engineering, and Senior Fellow at the Precourt Institute for Energy. He also serves as the Director of the Nanoscale Prototyping Laboratory and Faculty Co-director of the NPL-Affiliate Program. A solid-state physicist by training, Prinz leads a group of doctoral students, postdoctoral scholars, and visiting scholars who are addressing fundamental issues on energy conversion and storage at the nanoscale. In his Laboratory, a wide range of nano-fabrication technologies are employed to build prototype fuel cells and capacitors with induced topological electronic states. We are testing these concepts and novel material structures through atomic layer deposition, scanning tunneling microscopy, impedance spectroscopy and other technologies. In addition, the Prinz group group uses atomic scale modeling to gain insights into the nature of charge separation and recombination processes. Before coming to Stanford in 1994, he was on the faculty at Carnegie Mellon University. Prinz earned a PhD in Physics at the University of Vienna.
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Patrick Lee Purdon
Professor of Anesthesiology, Perioperative and Pain Medicine (Department Research) and, by courtesy, of Bioengineering
BioMy research integrates neuroimaging, biomedical signal processing, and the systems neuroscience of general anesthesia and sedation.
My group conducts human studies of anesthesia-induced unconsciousness, using a variety of techniques including multimodal neuroimaging, high-density EEG, and invasive neurophysiological recordings used to diagnose medically refractory epilepsy. We also develop novel methods in neuroimaging and biomedical signal processing to support these studies, as well as methods for monitoring level of consciousness under general anesthesia using EEG. -
Lei (Stanley) Qi
Associate Professor of Bioengineering
BioDr. Lei (Stanley) Qi is an Associate Professor of Bioengineering, an Institute Scholar at Sarafan ChEM-H, and a Chan Zuckerberg Biohub Investigator. He earned B.S. in Physics and Mathematics from Tsinghua University and Ph.D. in Bioengineering from UC Berkeley. Before joining the Stanford faculty in 2014, Dr. Qi was a Systems Biology Faculty Fellow at UCSF.
Dr. Qi is a pioneer in CRISPR technology development, particularly in the areas of epigenetic regulation and chromatin DNA imaging. He invented the first nuclease-deactivated Cas9 (dCas9) system for targeted gene regulation in living cells. His lab has since expanded the CRISPR-dCas toolbox, including new tools and variants like hyperCas12a and the compact CasMINI. These new technologies have enabled CRISPRi and CRISPRa for targeted gene repression and activation in various cells and organisms, large-scale genetic perturbation screens, and precision epigenetic editing in primary cells. His lab also developed technologies for dynamic chromatin DNA imaging in live cells (LiveFISH), 3D genome structure manipulation (CRISPR-GO), and multiplexed transcriptome engineering (MEGA).
Dr. Qi has used these new technologies to make key discoveries in epigenetics, such as the synergistic functions of enhancer elements in cancer gene regulation, metabolic pathways in T cell dysfunction, and novel antivirals against RNA viruses. Dr. Qi’s current research explores synthetic biology, epigenetics, immune cell engineering, and innovative targets for gene therapy in immunology and neurobiology. -
Jian Qin
Associate Professor of Chemical Engineering
BioJian Qin is an Associate Professor in the Department of Chemical Engineering at the Stanford University. His research focuses on development of microscopic understanding of structural and physical properties of soft matters by using a combination of analytical theory, scaling argument, numerical computation, and molecular simulation. He worked as a postdoctoral scholar with Juan de Pablo in the Institute for Molecular Engineering at the University of Chicago and with Scott Milner in the Department of Chemical Engineering at the Pennsylvania State University. He received his Ph.D. in the Department of Chemical Engineering and Materials Science at the University of Minnesota under the supervision of David Morse and Frank Bates. His research covers self-assembly of multi-component polymeric systems, molecular origin of entanglement and polymer melt rheology, coacervation of polyelectrolytes, Coulomb interactions in dielectrically heterogeneous electrolytes, and surface charge polarizations in particulate aggregates in the absence or presence of flow.
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Stephen Quake
Lee Otterson Professor in the School of Engineering and Professor of Bioengineering, of Applied Physics and, by courtesy, of Physics
Current Research and Scholarly InterestsSingle molecule biophysics, precision force measurement, micro and nano fabrication with soft materials, integrated microfluidics and large scale biological automation.
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Priyanka Raina
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsFor Priyanka's research please visit her group research page at https://stanfordaccelerate.github.io
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Ram Rajagopal
Associate Professor of Civil and Environmental Engineering, of Electrical Engineering and Senior Fellow at the Precourt Institute for Energy
BioRam Rajagopal is an Associate Professor of Civil and Environmental Engineering at Stanford University, where he directs the Stanford Sustainable Systems Lab (S3L), focused on large-scale monitoring, data analytics and stochastic control for infrastructure networks, in particular, power networks. His current research interests in power systems are in the integration of renewables, smart distribution systems, and demand-side data analytics.
He holds a Ph.D. in Electrical Engineering and Computer Sciences and an M.A. in Statistics, both from the University of California Berkeley, Masters in Electrical and Computer Engineering from University of Texas, Austin and Bachelors in Electrical Engineering from the Federal University of Rio de Janeiro. He is a recipient of the NSF CAREER Award, Powell Foundation Fellowship, Berkeley Regents Fellowship and the Makhoul Conjecture Challenge award. He holds more than 30 patents and several best paper awards from his work and has advised or founded various companies in the fields of sensor networks, power systems, and data analytics. -
Christopher Re
Professor of Computer Science
On Partial Leave from 10/01/2024 To 06/30/2025Current Research and Scholarly InterestsAlgorithms, systems, and theory for the next generation of data processing and data analytics systems.
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Martin Reinhard
Professor (Research) of Civil and Environmental Engineering, Emeritus
BioReinhard studies the fate of organic substances in the subsurface environment and develops technologies for the remediation of groundwater contaminated with chlorinated and non-chlorinated hydrocarbon compounds. His research is concerned with mechanistic aspects of chemical and biological transformation reactions in soils, natural waters, and treatment systems.
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Juan Rivas-Davila
Associate Professor of Electrical Engineering and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsModern applications demand power capabilities beyond what is presently achievable. High performance systems need high power density and bandwidth that are difficult to achieve.
Power density can be improved with better semiconductors and passive componets, and by reducing the energy storage requirements of the system. By dramatically increasing switching frequency it is possible to reduce size of power converters. I'm interested in high performance/frequency circuits switching >10 MHz. -
Eric Roberts
The Charles Simonyi Professor in the School of Engineering, Emeritus
BioFrom 1990-2002, Roberts served as associate chair and director of undergraduate studies for the Computer Science Department before being appointed as Senior Associate Dean in the School of Engineering and later moving on to become Faculty Director for Interdisciplinary Science Education in the office of the VPUE.
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Stephen Rock
Professor of Aeronautics and Astronautics, Emeritus
BioProfessor Rock's research interests include the application of advanced control and modeling techniques for robotic and vehicle systems (aerospace and underwater). He directs the Aerospace Robotics Laboratory in which students are involved in experimental programs designed to extend the state-of-the-art in robotic control. Areas of emphasis include planning and navigation techniques (GPS and vision-based) for autonomous vehicles; aerodynamic modeling and control for aggressive flight systems; underwater remotely-operated vehicle control; precision end-point control of manipulators in the presence of flexibility and uncertainty; and cooperative control of multiple manipulators and multiple robots. Professor Rock teaches several courses in dynamics and control.
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Noah Rosenberg
Stanford Professor of Population Genetics and Society
Current Research and Scholarly InterestsHuman evolutionary genetics, mathematical models in evolution and genetics, mathematical phylogenetics, statistical and computational genetics, theoretical population genetics
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Mendel Rosenblum
Cheriton Family Professor and Professor of Electrical Engineering
On Leave from 10/01/2024 To 06/30/2025Current Research and Scholarly InterestsNext generation data centers
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Bernard Roth
Professor of Mechanical Engineering, Emeritus
BioRoth is one of the founders of the Hasso Plattner Institute of Design at Stanford (the d.school) and is active in its development: currently, he serves as Academic Director. His design interests include organizing and presenting workshops on creativity, group interactions, and the problem solving process. Formerly he researched the kinematics, dynamics, control, and design of computer controlled mechanical devices. In kinematics, he studied the mathematical theory of rigid body motions and its application to the design of machines.
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Grant M. Rotskoff
Assistant Professor of Chemistry
BioGrant Rotskoff studies the nonequilibrium dynamics of living matter with a particular focus on self-organization from the molecular to the cellular scale. His work involves developing theoretical and computational tools that can probe and predict the properties of physical systems driven away from equilibrium. Recently, he has focused on characterizing and designing physically accurate machine learning techniques for biophysical modeling. Prior to his current position, Grant was a James S. McDonnell Fellow working at the Courant Institute of Mathematical Sciences at New York University. He completed his Ph.D. at the University of California, Berkeley in the Biophysics graduate group supported by an NSF Graduate Research Fellowship. His thesis, which was advised by Phillip Geissler and Gavin Crooks, developed theoretical tools for understanding nonequilibrium control of the small, fluctuating systems, such as those encountered in molecular biophysics. He also worked on coarsegrained models of the hydrophobic effect and self-assembly. Grant received an S.B. in Mathematics from the University of Chicago, where he became interested in biophysics as an undergraduate while working on free energy methods for large-scale molecular dynamics simulations.
Research Summary
My research focuses on theoretical and computational approaches to "mesoscale" biophysics. Many of the cellular phenomena that we consider the hallmarks of living systems occur at the scale of hundreds or thousands of proteins. Processes like the self-assembly of organelle-sized structures, the dynamics of cell division, and the transduction of signals from the environment to the machinery of the cell are not macroscopic phenomena—they are the result of a fluctuating, nonequilibrium dynamics. Experimentally probing mesoscale systems remains extremely difficult, though it is continuing to benefit from advances in cryo-electron microscopy and super-resolution imaging, among many other techniques. Predictive and explanatory models that resolve the essential physics at these intermediate scales have the power to both aid and enrich the understanding we are presently deriving from these experimental developments.
Major parts of my research include:
1. Dynamics of mesoscale biophysical assembly and response.— Biophysical processes involve chemical gradients and time-dependent external signals. These inherently nonequilibrium stimuli drive supermolecular organization within the cell. We develop models of active assembly processes and protein-membrane interactions as a foundation for the broad goal of characterizing the properties of nonequilibrium biomaterials.
2. Machine learning and dimensionality reduction for physical models.— Machine learning techniques are rapidly becoming a central statistical tool in all domains of scientific research. We apply machine learning techniques to sampling problems that arise in computational chemistry and develop approaches for systematically coarse-graining physical models. Recently, we have also been exploring reinforcement learning in the context of nonequilibrium control problems.
3. Methods for nonequilibrium simulation, optimization, and control.— We lack well-established theoretical frameworks for describing nonequilibrium states, even seemingly simple situations in which there are chemical or thermal gradients. Additionally, there are limited tools for predicting the response of nonequilibrium systems to external perturbations, even when the perturbations are small. Both of these problems pose key technical challenges for a theory of active biomaterials. We work on optimal control, nonequilibrium statistical mechanics, and simulation methodology, with a particular interest in developing techniques for importance sampling configurations from nonequilibrium ensembles. -
Amin Saberi
Professor of Management Science and Engineering and, by courtesy, of Computer Science
BioAmin Saberi is Professor of Management Science and Engineering at Stanford University. He received his B.Sc. from Sharif University of Technology and his Ph.D. from Georgia Institute of Technology in Computer Science. His research interests include algorithms, design and analysis of social networks, and applications. He is a recipient of the Terman Fellowship, Alfred Sloan Fellowship and several best paper awards.
Amin was the founding CEO and chairman of NovoEd Inc., a social learning environment designed in his research lab and used by universities such as Stanford as well as non-profit and for-profit institutions for offering courses to hundreds of thousands of learners around the world. -
Mehran Sahami
Tencent Chair of the of the Computer Science Department, James and Ellenor Chesebrough Professor and Senior Fellow, by courtesy, at the Freeman Spogli Institute for International Studies
BioMehran Sahami is Tencent Chair of the Computer Science Department and the James and Ellenor Chesebrough Professor in the School of Engineering. As a Professor (Teaching) in the Computer Science department, he is also a Bass Fellow in Undergraduate Education and previously served as the Associate Chair for Education in Computer Science. Prior to joining the Stanford faculty, he was a Senior Research Scientist at Google. His research interests include computer science education, artificial intelligence, and ethics. He served as co-chair of the ACM/IEEE-CS joint task force on Computer Science Curricula 2013, which created curricular guidelines for college programs in Computer Science at an international level. He has also served as chair of the ACM Education Board, an elected member of the ACM Council, and was appointed by California Governor Jerry Brown to the state's Computer Science Strategic Implementation Plan Advisory Panel.
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Maria Sakovsky
Assistant Professor of Aeronautics and Astronautics
BioMaria Sakovsky's work focuses on the use of shape adaptation to realize space structures with reconfigurable geometry, stiffness, and even non-mechanical performance (e.g., electromagnetic, optical). Particular focus is placed on the mechanics of thin fiber reinforced composite structures, the interplay between composite material properties and structural geometry, as well as embedded functionality and actuation of lightweight structures. The work has led to applications in deployable space structures, reconfigurable antennas, and soft robotics.
Maria Sakovsky received her BSc in Aerospace Engineering from the University of Toronto. Following this, she completed her MSc and PhD in Space Engineering at Caltech, where she developed a deployable satellite antenna based on origami concepts utilizing elastomer composites. She concurrently worked with NASA’s Jet Propulsion Laboratory on developing cryogenically rated thin-ply composite antennas for deep space missions. She was awarded the ETH Zurich Postdoctoral Fellowship in 2018 as well as the DARPA Young Faculty Award in 2024. -
J Kenneth Salisbury, Jr.
Professor (Research) of Computer Science and of Surgery (Anatomy), Emeritus
BioSalisbury worked on the development of the Stanford-JPL Robot Hand, the JPL Force Reflecting Hand Controller, the MIT-WAM arm, the PR-2 personal robot and the da Vinci Surgical Robot. His work with haptic interface technology led to the founding of SensAble Technology, producers of the PHANToM haptic interface and software. He also worked on developing telerobotic systems for dexterity enhancement in the operating room. His current research focuses on minimalist force controllable robots, human-machine interaction, cooperative haptics, medical robotics, and surgical simulation.
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Alberto Salleo
Hong Seh and Vivian W. M. Lim Professor and Professor, by courtesy, of Photon Science
Current Research and Scholarly InterestsNovel materials and processing techniques for large-area and flexible electronic/photonic devices. Polymeric materials for electronics, bioelectronics, and biosensors. Electrochemical devices for neuromorphic computing. Defects and structure/property studies of polymeric semiconductors, nano-structured and amorphous materials in thin films. Advanced characterization techniques for soft matter.
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Julia Salzman
Associate Professor of Biomedical Data Science, of Biochemistry and, by courtesy, of Statistics and of Biology
Current Research and Scholarly Interestsstatistical computational biology focusing on splicing, cancer and microbes
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Juan G. Santiago
Charles Lee Powell Foundation Professor
Current Research and Scholarly Interestshttp://microfluidics.stanford.edu/Projects/Projects.html
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Krishna Saraswat
Rickey/Nielsen Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsNew and innovative materials, structures, and process technology of semiconductor devices, interconnects for nanoelectronics and solar cells.
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John Louis Sarrao
Director of the SLAC National Accelerator Laboratory, Professor of Photon Science, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering
BioJohn Sarrao became SLAC National Accelerator Laboratory’s sixth director in October 2023. The lab’s ~2,000 staff advance the frontiers of science by exploring how the universe works at the biggest, smallest, and fastest scales and invent powerful tools used by scientists around the globe. SLAC’s research helps solve real-world problems and advances the interests of the nation. SLAC is operated by Stanford University for the U.S. Department of Energy’s Office of Science. It is home to three Office of Science national user facilities: the Linac Coherent Light Source (LCLS), the world’s most powerful X-ray laser; the Stanford Synchrotron Radiation Lightsource (SSRL); and the Facility for Advanced Accelerator Experimental Tests, (FACET-II). SLAC hosts thousands of users each year and manages an annual budget of ~$700M. In addition to his role as lab director, John is a professor of photon science, and by courtesy, of materials science and engineering at Stanford University, a senior fellow at Stanford’s Precourt Institute, and dean of SLAC faculty.
John came to SLAC from Los Alamos National Laboratory (LANL) in New Mexico, where he served as the deputy director for science, technology, and engineering. In that role, he led multiple directorates, including chemistry, earth and life sciences, global security, physical sciences, and simulation and computation. He also stewarded technology transitions and served as LANL’s chief research officer in support of its national security mission. Before becoming deputy director, he served as associate director for theory, simulation, and computation and division leader for materials physics and applications at LANL.
John’s scientific research focus is superconductivity in materials. He studies the synthesis and characterization of correlated electron systems, especially actinide materials. He won the 2013 Department of Energy’s E.O. Lawrence Award and is a fellow of the American Association for the Advancement of Science, the American Physical Society, and LANL. John received his PhD and master’s degree in physics from the University of California, Los Angeles, and a bachelor’s degree in physics from Stanford University. -
Elizabeth Sattely
Associate Professor of Chemical Engineering
BioPlants have an extraordinary capacity to harvest atmospheric CO2 and sunlight for the production of energy-rich biopolymers, clinically used drugs, and other biologically active small molecules. The metabolic pathways that produce these compounds are key to developing sustainable biofuel feedstocks, protecting crops from pathogens, and discovering new natural-product based therapeutics for human disease. These applications motivate us to find new ways to elucidate and engineer plant metabolism. We use a multidisciplinary approach combining chemistry, enzymology, genetics, and metabolomics to tackle problems that include new methods for delignification of lignocellulosic biomass and the engineering of plant antibiotic biosynthesis.
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Michael Saunders
Professor (Research) of Management Science and Engineering, Emeritus
BioSaunders develops mathematical methods for solving large-scale constrained optimization problems and large systems of equations. He also implements such methods as general-purpose software to allow their use in many areas of engineering, science, and business. He is co-developer of the large-scale optimizers MINOS, SNOPT, SQOPT, PDCO, the dense QP and NLP solvers LSSOL, QPOPT, NPSOL, and the linear equation solvers SYMMLQ, MINRES, MINRES-QLP, LSQR, LSMR, LSLQ, LNLQ, LSRN, LUSOL.
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Dustin Schroeder
Associate Professor of Geophysics, of Electrical Engineering and Senior Fellow at the Woods Institute for the Environment
BioMy research focuses on advancing the scientific and technical foundations of geophysical ice penetrating radar and its use in observing and understanding the interaction of ice and water in the solar system. I am primarily interested in the subglacial and englacial conditions of rapidly changing ice sheets and their contribution to global sea level rise. However, a growing secondary focus of my work is the exploration of icy moons. I am also interested in the development and application of science-optimized geophysical radar systems. I consider myself a radio glaciologist and strive to approach problems from both an earth system science and a radar system engineering perspective. I am actively engaged with the flow of information through each step of the observational science process; from instrument and experiment design, through data processing and analysis, to modeling and inference. This allows me to draw from a multidisciplinary set of tools to test system-scale and process-level hypotheses. For me, this deliberate integration of science and engineering is the most powerful and satisfying way to approach questions in Earth and planetary science.
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Brian Sedar
Adjunct Professor
Bio35 years of experience in EPC work spanning project controls, procurement, project development, construction, project management and operations. Bechtel Partner and Project Director for three of Bechtel’s largest international transportation infrastructure projects (click on Projects under Research), High Speed 1 in the UK, Hamad International Airport in Qatar and Upgrades for three London Underground lines. Served as General Manager of Bechtel’s Telecoms & Industrial business, Global Procurement Manager and launched its Global Water business. Now one of Stanford's most experienced construction practitioner-instructors.
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Luise Avelina Seeker
Basic Life Research Scientist
BioLuise Seeker is a trained vet from Berlin, Germany with a strong interest in researching ageing at a cellular level. She obtained a PhD in Genomics from the University of Edinburgh in 2018 for studying telomeres, their heritability and their power to predict lifespan (supervised by Profs. Georgios Banos, Dan Nussey, Mike Coffey and Bruce Whitelaw). She joined Prof. Anna Williams' lab at the University of Edinburgh as a postdoc and investigated transcriptional changes with ageing in the human central nervous system.
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Samuel Seidel
Adjunct Professor
BioSam is the K12 Lab Director of Strategy + Research at the Stanford d.school, and co-author of Creative Hustle (Ten Speed Press, 2022), Changing the Conversation About School Safety (Stanford d.school, 2022), Hip Hop Genius 2.0 (Rowman & Littlefield, 2022), and Hip Hop Genius: Remixing High School Education (Rowman & Littlefield, 2011).
He speaks internationally about education, race, culture, systems, and design.
Sam graduated from Brown University with a degree in Education and a teaching certification, was a Visiting Practitioner at Harvard Graduate School of Education, a Scholar-in-Residence at Columbia University's Institute for Urban and Minority Education, and a Community Fellow at the Rhode Island School of Design. -
Debbie Senesky
Associate Professor of Aeronautics and Astronautics, of Electrical Engineering and Senior Fellow at the Precourt Institute for Energy
BioDebbie G. Senesky is an Associate Professor at Stanford University in the Aeronautics and Astronautics Department and the Electrical Engineering Department. In addition, she is the Principal Investigator of the EXtreme Environment Microsystems Laboratory (XLab). Her research interests include the development of nanomaterials for extreme harsh environments, high-temperature electronics for Venus exploration, and microgravity synthesis of nanomaterials. In the past, she has held positions at GE Sensing (formerly known as NovaSensor), GE Global Research Center, and Hewlett Packard. She received the B.S. degree (2001) in mechanical engineering from the University of Southern California. She received the M.S. degree (2004) and Ph.D. degree (2007) in mechanical engineering from the University of California, Berkeley. Prof. Senesky is the Site Director of nano@stanford. She is currently the co-editor of two technical journals: IEEE Journal of Microelectromechanical Systems and Sensors. In recognition of her research, she received the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2025, Emerging Leader Abie Award from AnitaB.org in 2018, Early Faculty Career Award from the National Aeronautics and Space Administration (NASA) in 2012, Gabilan Faculty Fellowship Award in 2012, and Sloan Ph.D. Fellowship from the Alfred P. Sloan Foundation in 2004.
Prof. Senesky's career path and research has been featured by Scientific American, Seeker, People Behind the Science podcast, The Future of Everything radio show, Space.com, and NPR's Tell Me More program. More information about Prof. Senesky can be found at https://xlab.stanford.edu and on Instagram (@astrodebs). -
Ross Shachter
Associate Professor of Management Science and Engineering
Current Research and Scholarly InterestsProf. Shachter's research has focused on the representation, manipulation, and analysis of uncertainty and probabilistic reasoning in decision systems. As part of this work, he developed the DAVID influence diagram processing system for the Macintosh. He has developed models scheduling patients for cancer follow-up, and analyzing vaccination strategies for HIV and Helobacter pylori.
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Eric S.G. Shaqfeh
Lester Levi Carter Professor and Professor of Mechanical Engineering
Current Research and Scholarly InterestsI have over 25 years experience in theoretical and computational research related to complex fluids following my PhD in 1986. This includes work in suspension mechanics of rigid partlcles (rods), solution mechanics of polymers and most recently suspensions of vesicles, capsules and mixtures of these with rigid particles. My research group is internationally known for pioneering work in all these areas.
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Alicia Myles Sheares
Assistant Professor of Management Science and Engineering
BioProfessor Alicia Myles Sheares is an Assistant Professor in the Management Science and Engineering department at Stanford University. Her research sits at the intersection of race and organizations with a specific focus on how underrepresented professionals of color fare in the United States. Currently, she’s working on two major projects. The first explores the experiences of Black tech entrepreneurs in Silicon Valley and Atlanta, while the second explores individual and company-level factors that are associated with success among Black and Latine startups in the U.S. Her research has been published in Social Forces, the Sociology of Race and Ethnicity, Big Data and Society, and the International Migration Review. Professor Sheares was a University of California President’s Postdoctoral Fellow at UCLA. She received her Ph.D. in sociology from UC Berkeley, her M.Sc. in Migration Studies from the University of Oxford, and her B.A. from Spelman College.
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Sheri D. Sheppard
Richard W. Weiland Professor in the School of Engineering, Emerita
BioSheri Sheppard teaches both undergraduate and graduate design-related classes, and conducts research on fracture mechanics and applied finite element analysis, and on how people become engineers. From 1999-2008 she served as a Senior Scholar at the Carnegie Foundation for the Advancement of Teaching, leading the Foundation’s engineering study. In addition to publishing technical papers, reports, and textbooks, she has led or co-led several large, multi-institutional projects to build new educational research programs and related resources, such as the Center for the Advancement of Engineering Education (CAEE), The National Center for Engineering Pathways to Innovation (Epicenter), and a program on summer research experiences for high school teachers. Her industry experience includes engineering positions at Detroit's "Big Three” — Ford Motor Company, General Motors Corporation, and Chrysler Corporation. She earned her bachelors degree from the University of Wisconsin, and her PhD at the University of Michigan. At Stanford she has served a chair of the faculty senate, as associate vice provost for graduate education, and is the longtime faculty founder of and adviser to the graduate student group MEwomen. Her work has been recognized with numerous honors and awards, including the Walter J. Gores Award, Stanford University's highest award for excellence in teaching and the Chester F. Carlson and Ralph Coats Roe Awards of the American Society for Engineering Education in recognition of distinguished accomplishment in engineering education, and for outstanding teaching and notable contributions to the mechanical engineering profession.
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Chungheon Shin
Research Engineer
BioChungheon Shin is the Research Director at the Codiga Resource Recovery Center at Stanford University. He is passionate about prospects for sustainability through resource recovery from waste streams and believes that engineering can make it possible. He has been developing and optimizing innovative processes that can recover resources while mitigating greenhouse gas emissions. His studies incorporate various processes (biological and physicochemical systems), scales of analyses (kinetics to systems-level), and computational skills (conventional and data-driven models). He received his Ph.D. in Environmental Engineering at Inha University (South Korea) while developing the Staged Anaerobic Fluidized-bed Membrane Bioreactor (SAF-MBR), enabling recovery of clean water and energy from municipal wastewater, with Professor Jaehoe Bae and Professor Perry L. McCarty. He was a postdoctoral scholar in the Civil and Environmental Engineering department at Stanford University under the supervision of Professor Craig S. Criddle and Adjunct Professor Sebastien Tilmans.
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Yoav Shoham
Professor of Computer Science, Emeritus
BioYoav Shoham is professor emeritus of computer science at Stanford University. A leading AI expert, Prof. Shoham is Fellow of AAAI, ACM and the Game Theory Society. Among his awards are the IJCAI Research Excellence Award, the AAAI/ACM Allen Newell Award, and the ACM/SIGAI Autonomous Agents Research Award. His online Game Theory course has been watched by close to a million people. Prof. Shoham has founded several AI companies, including TradingDynamics (acquired by Ariba), Katango and Timeful (both acquired by Google), and AI21 Labs. Prof. Shoham also chairs the AI Index initiative (www.AIindex.org), which tracks global AI activity and progress, and WeCode (www.wecode.org.il), a nonprofit initiative to train high-quality programmers from disadvantaged populations.
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Aaron Sidford
Associate Professor of Management Science and Engineering and of Computer Science
Current Research and Scholarly InterestsMy research interests lie broadly in the optimization, the theory of computation, and the design and analysis of algorithms. I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures.
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Barbara G Simpson
Assistant Professor of Civil and Environmental Engineering
BioOur research group is made up of a small team of talented students with a wide range of skills and experience. We explore advanced computational and experimental methods to characterize structural response. Our aim is to develop innovative structural systems that improve structural performance and reduce the effects of natural hazards on the built environment.
Research areas include resilient and sustainable design and retrofit of building structures and offshore renewable energy systems, performance-based earthquake engineering, and next-generation computational modeling, including real-time hybrid simulation for fluid-structure interaction. -
Robert Sinclair
Charles M. Pigott Professor in the School of Engineering
BioUsing high-resolution transmission electron microscopy, Sinclair studies microelectronic, magnetic thin film microstructure and nanomaterials.
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Hyongsok Tom Soh
Professor of Radiology (Diagnostic Sciences Laboratory), of Electrical Engineering, of Bioengineering and, by courtesy, of Chemical Engineering
BioDr. Soh received his B.S. with a double major in Mechanical Engineering and Materials Science with Distinction from Cornell University and his Ph.D. in Electrical Engineering from Stanford University. From 1999 to 2003, Dr. Soh served as the technical manager of MEMS Device Research Group at Bell Laboratories and Agere Systems. He was a faculty member at UCSB before joining Stanford in 2015. His current research interests are in analytical biotechnology, especially in high-throughput screening, directed evolution, and integrated biosensors.
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Olav Solgaard
Director, Edward L. Ginzton Laboratory and Robert L. and Audrey S. Hancock Professor in the School of Engineering
On Leave from 10/01/2024 To 06/30/2025BioThe Solgaard group focus on design and fabrication of nano-photonics and micro-optical systems. We combine photonic crystals, optical meta-materials, silicon photonics, and MEMS, to create efficient and reliable systems for communication, sensing, imaging, and optical manipulation.
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Shuran Song
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science
BioShuran Song is an Assistant Professor of Electrical Engineering at Stanford University. Before joining Stanford, she was faculty at Columbia University. Shuran received her Ph.D. in Computer Science at Princeton University, BEng. at HKUST. Her research interests lie at the intersection of computer vision and robotics. Song’s research has been recognized through several awards, including the Best Paper Awards at RSS’22 and T-RO’20, Best System Paper Awards at CoRL’21, RSS’19, and finalists at RSS, ICRA, CVPR, and IROS. She is also a recipient of the NSF Career Award, Sloan Foundation fellowship as well as research awards from Microsoft, Toyota Research, Google, Amazon, and JP Morgan.
To learn more about Shuran’s work, please visit: https://shurans.github.io/ -
Andrew Spakowitz
Tang Family Foundation Chair of the Department of Chemical Engineering, Professor of Chemical Engineering, of Materials Science and Engineering and, by courtesy, of Applied Physics
Current Research and Scholarly InterestsTheory and computation of biological processes and complex materials
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Daniel Spielman
Professor of Radiology (Radiological Sciences Lab) and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsMy research interests are in the field of medical imaging, particularly magnetic resonance imaging and in vivo spectroscopy. Current projects include MRI and MRS at high magnetic fields and metabolic imaging using hyperpolarized 13C-labeled MRS.
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Alfred M. Spormann
Professor of Civil and Environmental Engineering and of Chemical Engineering, Emeritus
Current Research and Scholarly InterestsMetabolism of anaerobic microbes in diseases, bioenergy, and bioremediation
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Robert Street
William Alden and Martha Campbell Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsStreet focuses on numerical simulations related to geophysical fluid motions. His research considers the modeling of turbulence in fluid flows, which are often stratified, and includes numerical simulation of coastal upwelling, internal waves and sediment transport in coastal regions, flow in rivers, valley winds, and the planetary boundary layer.
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Jenny Suckale
Associate Professor of Geophysics and, Senior Fellow, by courtesy, at the Woods Institute for the Environment
BioMy research group studies disasters to reduce the risk they pose. We approach this challenge by developing customized mathematical models that can be tested against observational data and are informed by community needs through a scientific co-production process. We intentionally work on extremes across different natural systems rather than focusing on one specific natural system to identify both commonalities in the physical processes driving extremes and in the best practices for mitigating risk at the community level. Our current research priorities include volcanic eruptions, ice-sheet instability, permafrost disintegration, induced seismicity and flood-risk mitigation. I was recently awarded the Presidential Early Career Awards for Scientists and Engineers, the highest honor bestowed by the United States Government on science and engineering professionals in the early stages of their independent research careers and the CAREER award from the National Science Foundation.
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Robert Sutton
Professor of Management Science & Engineering, Emeritus
BioRobert I. Sutton is an organizational psychologist and best-selling author. He studies leadership, innovation, organizational change, and workplace dynamics. Sutton has published over 200 articles, chapters, and case studies. His focus recently is scaling and leading at scale—how to grow organizations, spread good things (and remove bad things) in teams and organizations, and enhance performance, innovation, and well-being in big organizations.
Sutton received his PhD in Organizational Psychology from The University of Michigan and has served on the Stanford faculty since 1983. He served as Professor of Management Science & Engineering until 2023 and is now Professor Emeritus at Stanford. Sutton is co-founder and former co-director of the Center for Work, Technology and Organization, co-founder of the Stanford Technology Ventures Program, and co-founder of the “Stanford d.school.” Sutton was a resident Fellow at the Center for Advanced Study in the Behavioral Sciences during multiple years. He has served on the editorial boards of numerous scholarly publications and as an editor for Administrative Science Quarterly and Research in Organizational Behavior.
Sutton has served as an advisor to McKinsey & Company, Bain & Company, and Microsoft, a Fellow at IDEO, a board member of the Institute for the Future, a Senior Scientist at Gallup, and on faculty at the World Economic Forum in Davos. He is currently an advisor to Teamraderie and Asana’s Work Innovation Lab. Sutton is the academic co-director of Stanford executive education programs including Customer Focused Innovation and Innovation and Entrepreneurship. He has given more than 200 keynote speeches in more than 20 countries.
Sutton’s academic honors include the award for the best paper published in the Academy of Management Journal, induction into the Academy of Management Journals Hall of Fame, the Eugene L. Grant Award for Excellence in Teaching, the McGraw-Hill Innovation in Entrepreneurship Pedagogy Award, and the award for the best article published in the Academy of Management Review. The London Business School selected Sutton for the 2014 Sumantra Ghoshal Award “for rigour and relevance in the study of management.” The American Management Association selected Sutton as one of the top 30 leaders who most influenced business in 2014 (ranking him 10th).
Sutton’s eight books and two edited volumes include (with Jeffrey Pfeffer) The Knowing-Doing Gap, selected by Jack Covert and Todd Sattersten as one of the best 100 business books of all time, and Weird Ideas That Work, selected by the Harvard Business Review as one of the best ten business books of the year. Hard Facts, Dangerous Half-Truths, and Total Nonsense was selected by Toronto’s Globe and Mail as the top management book of 2006 and by Strategy+Business as one of the best 10 books in the last decade.
The No Asshole Rule—a New York Times (NYT), Wall Street Journal (WSJ), and Businessweek bestseller—was translated into over 20 languages and sold over 900,000 copies. Good Boss, Bad Boss is a NYT and WSJ bestseller. Scaling-Up Excellence (with Huggy Rao) is a WSJ bestseller that was selected as one of the best business books of the year by Amazon, Financial Times, Inc., and others. The Asshole Survival Guide was selected as book of the month by the Financial Times.
Sutton’s latest book (with Rao), The Friction Project, unpacks insights from their seven-year learning adventure using academic research, case studies, classes and workshops, and ongoing dialog with scholars, executives, and innovators to learn how smart organizations make the right things easier and the wrong things harder.
Sutton’s research and opinions have appeared in the press, including NYT, The Times (of London), Financial Times, Fortune, WSJ, Wired, Vanity Fair, Washington Post, and more. Sutton has been a guest on numerous radio and television shows and podcasts. Learn more at bobsutton.net -
Yuri Suzuki
Stanley G. Wojcicki Professor, Professor of Applied Physics, and by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsHer interests are focused on novel ground states and functional properties in condensed matter systems synthesized via atomically precise thin film deposition techniques with a recent emphasis has been on highly correlated electronic systems:
• Emergent interfacial electronic & magnetic phenomena through complex oxide heteroepitaxy
• Low dimensional electron gas systems
• Spin current generation, propagation and control in complex oxide-based ferromagnets
• Multifunctional behavior in complex oxide thin films and heterostructures -
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.
