School of Engineering
Showing 51-100 of 682 Results
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Alexandria Boehm
Richard and Rhoda Goldman Professor of Environmental Studies, Professor of Oceans and Senior Fellow at the Woods Institute for the Environment
BioI am interested in pathogens in the environment including their sources, fate, and transport in natural and engineered systems. I am interested in understanding of how pathogens are transmitted to humans through contact with water, feces, and contaminated surfaces. My research is focused on key problems in both developed and developing countries with the overarching goal of designing and testing novel interventions and technologies for reducing the burden of disease.
I am also interested broadly in coastal water quality where my work addresses the sources, transformation, transport, and ecology of biocolloids - specifically fecal indicator organisms, DNA, pathogens, and phytoplankton - as well as sources and fate of nitrogen. This knowledge is crucial to formulating new management policies and engineering practices that protect human and ecosystem health at the coastal margins. -
Jeannette Bohg
Associate Professor of Computer Science
BioJeannette Bohg is an Assistant Professor of Computer Science at Stanford University. She was a group leader at the Autonomous Motion Department (AMD) of the MPI for Intelligent Systems until September 2017. Before joining AMD in January 2012, Jeannette Bohg was a PhD student at the Division of Robotics, Perception and Learning (RPL) at KTH in Stockholm. In her thesis, she proposed novel methods towards multi-modal scene understanding for robotic grasping. She also studied at Chalmers in Gothenburg and at the Technical University in Dresden where she received her Master in Art and Technology and her Diploma in Computer Science, respectively. Her research focuses on perception and learning for autonomous robotic manipulation and grasping. She is specifically interesting in developing methods that are goal-directed, real-time and multi-modal such that they can provide meaningful feedback for execution and learning. Jeannette Bohg has received several awards, most notably the 2019 IEEE International Conference on Robotics and Automation (ICRA) Best Paper Award, the 2019 IEEE Robotics and Automation Society Early Career Award and the 2017 IEEE Robotics and Automation Letters (RA-L) Best Paper Award.
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Adam Boies
Associate Professor of Mechanical Engineering and Center Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsSee www.ANEEStanford.com/research
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Ivo Bolsens
Adjunct Professor
BioDirector of System X and instructor for EE310
Ivo retired from AMD as Senior Vice-President Corporate Research and Advanced Development. He managed advanced hardware and software technology development, including future architectures and software stacks to enable emerging opportunities in the fields of AI and embedded computing. His team was also driving the university partnerships to create a thriving, global ecosystem for AMD technology in academia.
He joined AMD in 2022, as part of the Xilinx acquisition. At Xilinx, he served as the Chief Technology Officer in charge of corporate research. He joined Xilinx in 2001 from the Interuniversity Microelectronics Centre (IMEC), an international research center based in Belgium. At IMEC he was vice president leading the R&D of digital signal processing hardware and software. During his tenure at IMEC, he spun-out several successful startups in the field of SOC design tools and wireless systems.
He serves on the advisory boards of IMEC, the Engineering Departments of San Jose State University and Santa Clara University, and the Department of Electrical Engineering and Computer Sciences at UC Berkeley.
He received his Master’s degree and PhD degree (EE) from the KU Leuven university in Belgium. -
Dan Boneh
Cryptography Professor and Professor of Electrical Engineering
BioProfessor Boneh heads the applied cryptography group and co-direct the computer security lab. Professor Boneh's research focuses on applications of cryptography to computer security. His work includes cryptosystems with novel properties, web security, security for mobile devices, and cryptanalysis. He is the author of over a hundred publications in the field and is a Packard and Alfred P. Sloan fellow. He is a recipient of the 2014 ACM prize and the 2013 Godel prize. In 2011 Dr. Boneh received the Ishii award for industry education innovation. Professor Boneh received his Ph.D from Princeton University and joined Stanford in 1997.
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Ronaldo Borja
Professor of Civil and Environmental Engineering
BioBorja works in computational mechanics, geomechanics, and geosciences. His research includes developing strain localization and failure models for soils and rocks, modeling coupled solid deformation/fluid flow phenomena in porous materials, and finite element modeling of faulting, cracking, and fracturing in quasi-brittle materials.
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Anna Boslough
Lecturer
BioI am a lecturer at the PRL (Product Realization Lab), teaching ME 128 / 318 Computer-Aided Product Realization. I also help manage lab operations for our 1000+ users. I have a second appointment in CEE, where I teach Architectural Design and Fabrication (CEE131G).
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Adam Bouland
Assistant Professor of Computer Science
BioAdam Bouland is an Assistant Professor of Computer Science. His research focuses on quantum computing theory and connections between computational complexity and physics. Please see http://theory.stanford.edu/~abouland/ for details.
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Tom Bowman
Professor of Mechanical Engineering, Emeritus
BioProfessor Bowman studies reacting flows, primarily through experimental means, and the processes by which pollutants are formed and destroyed in flames. In addition, he is interested in the environmental impact of energy use, specifically greenhouse gas emissions from use of fossil fuels.
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Stephen Boyd
Samsung Professor in the School of Engineering
BioStephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University, and a member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, machine learning, and finance.
Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. C. Berkeley in 1985. In 1985 he joined Stanford's Electrical Engineering Department. He has held visiting Professor positions at Katholieke University (Leuven), McGill University (Montreal), Ecole Polytechnique Federale (Lausanne), Tsinghua University (Beijing), Universite Paul Sabatier (Toulouse), Royal Institute of Technology (Stockholm), Kyoto University, Harbin Institute of Technology, NYU, MIT, UC Berkeley, CUHK-Shenzhen, and IMT Lucca. He holds honorary doctorates from Royal Institute of Technology (KTH), Stockholm, and Catholic University of Louvain (UCL).
Professor Boyd is the author of many research articles and four books: Introduction to Applied Linear Algebra: Vectors, Matrices, and Least-Squares (with Lieven Vandenberghe, 2018), Convex Optimization (with Lieven Vandenberghe, 2004), Linear Matrix Inequalities in System and Control Theory (with El Ghaoui, Feron, and Balakrishnan, 1994), and Linear Controller Design: Limits of Performance (with Craig Barratt, 1991). His group has produced many open source tools, including CVX (with Michael Grant), CVXPY (with Steven Diamond) and Convex.jl (with Madeleine Udell and others), widely used parser-solvers for convex optimization.
He has received many awards and honors for his research in control systems engineering and optimization, including an ONR Young Investigator Award, a Presidential Young Investigator Award, and the AACC Donald P. Eckman Award. In 2013, he received the IEEE Control Systems Award, given for outstanding contributions to control systems engineering, science, or technology. In 2012, Michael Grant and he were given the Mathematical Optimization Society's Beale-Orchard-Hays Award, for excellence in computational mathematical programming. In 2023, he was given the AACC Richard E. Bellman Control Heritage Award, the highest recognition of professional achievement for U.S. control systems engineers and scientists. In 2025, he was awarded the IFAC Nathaniel B. Nichols Medal.
He is a Fellow of the IEEE, SIAM, INFORMS, IFAC, and ACA, a Distinguished Lecturer of the IEEE Control Systems Society, a member of the US National Academy of Engineering, a foreign member of the Chinese Academy of Engineering, and a foreign member of the National Academy of Engineering of Korea. He has been invited to deliver more than 100 plenary and keynote lectures at major conferences in control, optimization, signal processing, and machine learning.
He has developed and taught many undergraduate and graduate courses, including Signals & Systems, Linear Dynamical Systems, Convex Optimization, and a recent undergraduate course on Matrix Methods. His graduate convex optimization course attracts around 300 students from more than 20 departments. In 1991 he received an ASSU Graduate Teaching Award, and in 1994 he received the Perrin Award for Outstanding Undergraduate Teaching in the School of Engineering. In 2003, he received the AACC Ragazzini Education award, for contributions to control education. In 2016 he received the Walter J. Gores award, the highest award for teaching at Stanford University. In 2017 he received the IEEE James H. Mulligan, Jr. Education Medal, for a career of outstanding contributions to education in the fields of interest of IEEE, with citation "For inspirational education of students and researchers in the theory and application of optimization." -
Margaret Brandeau
Coleman F. Fung Professor in the School of Engineering and Professor, by courtesy, of Health Policy
BioProfessor Brandeau is the Coleman F. Fung Professor in the School of Engineering and a Professor of Health Policy (by Courtesy). Her research focuses on the development of applied mathematical and economic models to support health policy decisions. Her recent work has focused on HIV prevention and treatment programs, programs to control the US opioid epidemic, and policies for minimizing the spread of infectious diseases, including COVID-19. She has served as Principal Investigator or Co-PI on a broad range of funded research projects.
She is a Fellow of the Institute for Operations Research and Management Science (INFORMS) and a member of the Omega Rho International Honor Society for Operations Research and Management Science. From INFORMS she has received the President’s Award (recognizing important contributions to the welfare of society), the Pierskalla Prize (in 2001 and 2017, for research excellence in health care management science), the Philip McCord Morse Lectureship Award, the Saul Gass Expository Writing Award, and the Award for the Advancement of Women in Operations Research and the Management Sciences. She has also received the Award for Excellence in Application of Pharmacoeconomics and Health Outcomes Research from the International Society for Pharmacoeconomics and Outcomes Research, and a Presidential Young Investigator Award from the National Science Foundation, among other awards. Professor Brandeau earned a BS in Mathematics and an MS in Operations Research from MIT, and a PhD in Engineering-Economic Systems from Stanford. -
John Bravman
Bing Centennial Prof, Freeman-Thornton Chair for Vice Provost for Undergrad Ed, & Dean of Fresh-Soph College, & Prof of Materials Sci & Eng, Emeritus
Biohttps://www.bucknell.edu/meet-bucknell/bucknell-leadership/meet-president-bravman
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Leticia Britos Cavagnaro
Adjunct Professor
BioLeticia Britos Cavagnaro is a scientist-turned-designer working to shape the future of teaching and learning at the Stanford Hasso Plattner Institute of Design (d.school). She holds a PhD from Stanford, at the intersection of Developmental Biology and Computer Science.
Leticia has started and leads several d.school initiatives that support pedagogical innovation globally, such as the Teaching and Learning Studio –an open-enrollment professional development program that has trained over 1000 higher education professors and leaders since 2016– and the Innovative Teaching Scholars program –a collaboration with the Stanford Engineering Center for Global & Online Education to train university educators in Thailand.
She was the founding Deputy Director of the National Center for Engineering Pathways to Innovation (Epicenter), an NSF-funded initiative to foster innovation and entrepreneurship in engineering education across the US that was spearheaded by Stanford's Management Science & Engineering department from 2011 to 2016. With Epicenter as its launchpad, Leticia co-founded, scaled, and spun-off the University Innovation Fellows program, which empowers students globally to be co-designers of their education in collaboration with faculty and leaders at their schools. The program has trained over 3200 Fellows from over 326 universities in 24 countries.
Leticia teaches Capstone Project and Advanced Reflective Practice to graduate students in Stanford’s MS Design program. She also develops tools that leverage emerging technologies like AI to empower learners to be self-directed, action-oriented, and reflective. Riff –the generative AI reflection assistant Leticia developed– is being used by hundreds of educators globally and has supported over 25,000 student reflections in the past year.
Leticia is a thought leader in pedagogical innovation. Her recent book Experiments In Reflection invites us to expand how we see the past and present and to become bold shapers of the future.
She was born in Uruguay and lives in San Francisco with her husband.
Connect with Leticia: https://www.linkedin.com/in/leticiabc/ -
Mark Brongersma
Director, Geballe Laboratory for Advanced Materials (GLAM), Stephen Harris Professor, Professor of Materials Science and Engineering and, by courtesy, of Applied Physics
BioMark Brongersma is a Professor in the Department of Materials Science and Engineering at Stanford University. He received his PhD in Materials Science from the FOM Institute in Amsterdam, The Netherlands, in 1998. From 1998-2001 he was a postdoctoral research fellow at the California Institute of Technology. During this time, he coined the term “Plasmonics” for a new device technology that exploits the unique optical properties of nanoscale metallic structures to route and manipulate light at the nanoscale. His current research is directed towards the development and physical analysis of nanostructured materials that find application in nanoscale electronic and photonic devices. Brongersma received a National Science Foundation Career Award, the Walter J. Gores Award for Excellence in Teaching, the International Raymond and Beverly Sackler Prize in the Physical Sciences (Physics) for his work on plasmonics, and is a Fellow of the Optical Society of America, the SPIE, and the American Physical Society.
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Jenn Brophy
Assistant Professor of Bioengineering
Current Research and Scholarly InterestsWe develop technologies that enable the genetic engineering of plants and their associated microbes with the goal of driving innovation in agriculture for a sustainable future. Our work is focused in synthetic biology and the reprogramming of plant development for enhanced environmental stress tolerance.
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Zev Bryant
Associate Professor of Bioengineering and, by courtesy, of Structural Biology
Current Research and Scholarly InterestsMolecular motors lie at the heart of biological processes from DNA replication to vesicle transport. My laboratory seeks to understand the physical mechanisms by which these nanoscale machines convert chemical energy into mechanical work.
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Vivek P. Buch, MD
Assistant Professor of Neurosurgery and, by courtesy, of Bioengineering
BioDr. Buch is a board certified neurosurgeon with fellowship training in pediatric and adult epilepsy, functional, and minimally invasive neurosurgery. He is an Assistant Professor of Neurosurgery and Bioengineering, and the Christina and Hamid Moghadam Endowed Faculty Scholar at Stanford University.
Dr. Buch focuses his expertise on the open and minimally invasive treatment of epilepsy, low grade brain tumors, movement and neuropsychiatric disorders, facial and body pain syndromes, and other complex neurological conditions. He uses advanced and innovative techniques to treat both pediatric and adult patients. For each patient, he develops a personalized care plan that is designed to be both comprehensive and compassionate.
Dr. Buch has conducted extensive research. His academic career goal is to develop restorative bioengineering approaches for complex neurocognitive, neurodevelopmental, and neuropsychiatric disorders. He is creating network-neuroprosthetics and precision molecular therapies to restore abnormal brain circuit function in these vulnerable patient populations. He is further pioneering novel intraoperative technologies including personalized network-based targeting, holographic mixed reality, and artificial intelligence platforms for minimally invasive cranial surgery. He has presented this work at numerous professional conferences at the national and international level.
He has co-authored articles on his research discoveries in Science, Nature, Nature Medicine, Nature Neuroscience, Nature Communications, Neuron, Brain, Annals of Surgery, New England Journal of Medicine, ACS Nano, and many other journals. Articles focus on developing novel network control theory applications to human brain functions and new techniques and technologies to enhance neurosurgical effectiveness and patient outcomes.
He is the AI/Data Science Section Editor for NEUROSURGERY, and a guest editor for Surgical Innovation and Brain Sciences. He also has co-authored chapters in the books Neurosurgical Atlas, Operative Techniques in Epilepsy Surgery, Deep Brain Stimulation, and The Encyclopedia of Medical Robotics.
For his clinical, research, and academic achievements. Dr. Buch has earned many honors. He has won awards from the American Association of Neurological Surgeons, American Roentgen Ray Society, Congress of Neurological Surgeons, and National Institutes of Health, including twice earning the honor of national Young Neurosurgeon award from the Congress of Neurological Surgeons in his first 5 years of practice.
Dr. Buch is a national leader in epilepsy surgery, functional neurosurgery, and surgical AI. He is a member of the Wu Tsai Neuroscience Institute, Human Performance Alliance, Stanford BioX, and Human Centered AI Institute. He is also a member of the American Association of Neurological Surgeons, Congress of Neurological Surgeons, World Society for Stereotactic and Functional Neurosurgery, American Association of Stereotactic and Functional Neurosurgery, American Epeilepsy Soeciety, and Alpha Omega Alpha Medical Honor Society.
He has designed and holds patents on artificial intelligence systems for surgical guidance, neural control signals for closed-loop stimulation therapy, novel arrays for bioelectrical sensing and stimulation, and surgical devices including percutaneous anchoring mechanisms and digital neurological assessment tools.
Essential tremor patient story: https://www.youtube.com/watch?v=fV6BzyU9b3c
Parkinson's disease patient story: https://www.youtube.com/watch?v=vAKP7SRKs08
Epilepsy patient story: https://www.youtube.com/watch?v=HXy-gXg0t94&t=3s
Deep brain stimulation treatment: https://www.youtube.com/watch?v=xLgEcb447gA&t=1s
Laser interstitial thermal therapy treatment: https://www.youtube.com/watch?v=z-nRUMbs2kY&t=2s
MR-guided focused ultrasound treatment: https://www.youtube.com/watch?v=3Bwq2YxD9eU -
April Burrage
Provostial Fellow
BioApril Burrage, Ph.D. is a Provostial Fellow in the Management Science and Engineering department at Stanford University. Her research focuses on differences in entrepreneurial opportunities and the economics of innovation and science. She examines how institutions shape entrepreneurial possibilities and innovation for emerging tech entrepreneurs. Currently, her work explores the impact of innovation policies on tech entrepreneurship and the motivations of STEM professionals to commercialize their ideas. Supported by the National Science Foundation and the Sloan Foundation, Dr. Burrage's research has been featured in outlets such as Research Policy, Journal of Economics and Management Strategy, and Brookings Institution. Her research seeks to uncover the institutional factors that drive entrepreneurship and innovation, with the goal of informing policies and practices that promote a dynamic entrepreneurial ecosystem. Dr. Burrage earned her Ph.D. in Economics from the University of Massachusetts Amherst, her M.A. in Economics from Roosevelt University, and her B.S. in Marketing from North Carolina A&T State University.
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Thomas Byers
Entrepreneurship Professor in the School of Engineering
Current Research and Scholarly InterestsApplied ethics, responsible innovation, and global entrepreneurship education (see http://peak.stanford.edu).
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Wei Cai
Professor of Mechanical Engineering and, by courtesy, of Materials Science and Engineering
BioPredicting mechanical strength of materials through theory and simulations of defect microstructures across atomic, mesoscopic and continuum scales. Developing new atomistic simulation methods for long time-scale processes, such as crystal growth and self-assembly. Applying machine learning techniques to materials research. Modeling and experiments on the metallurgical processes in metal 3D printing. Understanding microstructure-property relationship in materials for stretchable electronics, such as carbon nanotube networks and semiconducting elastomers.
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David Camarillo
Associate Professor of Bioengineering and, by courtesy, of Neurosurgery and of Mechanical Engineering
BioDavid B. Camarillo is Associate Professor of Bioengineering, (by courtesy) Mechanical Engineering and Neurosurgery at Stanford University. Dr. Camarillo holds a B.S.E in Mechanical and Aerospace Engineering from Princeton University, a Ph.D. in Mechanical Engineering from Stanford University and completed postdoctoral fellowships in Biophysics at the UCSF and Biodesign Innovation at Stanford. Dr. Camarillo worked in the surgical robotics industry at Intuitive Surgical and Hansen Medical, before launching his laboratory at Stanford in 2012. His current research focuses on precision human measurement for multiple clinical and physiological areas including the brain, heart, lungs, and reproductive system. Dr. Camarillo has been awarded the Hellman Fellowship, the Office of Naval Research Young Investigator Program award, among other honors including multiple best paper awards in brain injury and robotic surgery. His research has been funded by the NIH, NSF, DoD, as well as corporations and private philanthropy. His lab’s research has been featured on NPR, the New York Times, The Washington Post, Science News, ESPN, and TED.com as well as other media outlets aimed at education of the public.
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Emmanuel Candes
Barnum-Simons Chair of Math and Statistics, and Professor of Statistics and, by courtesy, of Electrical Engineering
BioEmmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics, a professor of electrical engineering (by courtesy) and a member of the Institute of Computational and Mathematical Engineering at Stanford University. Earlier, Candès was the Ronald and Maxine Linde Professor of Applied and Computational Mathematics at the California Institute of Technology. His research interests are in computational harmonic analysis, statistics, information theory, signal processing and mathematical optimization with applications to the imaging sciences, scientific computing and inverse problems. He received his Ph.D. in statistics from Stanford University in 1998.
Candès has received several awards including the Alan T. Waterman Award from NSF, which is the highest honor bestowed by the National Science Foundation, and which recognizes the achievements of early-career scientists. He has given over 60 plenary lectures at major international conferences, not only in mathematics and statistics but in many other areas as well including biomedical imaging and solid-state physics. He was elected to the National Academy of Sciences and to the American Academy of Arts and Sciences in 2014. -
Brian Cantwell
Edward C. Wells Professor in the School of Engineering and Professor of Mechanical Engineering, Emeritus
BioProfessor Cantwell's research interests are in the area of turbulent flow. Recent work has centered in three areas: the direct numerical simulation of turbulent shear flows, theoretical studies of the fine-scale structure of turbulence, and experimental measurements of turbulent structure in flames. Experimental studies include the development of particle-tracking methods for measuring velocity fields in unsteady flames and variable density jets. Research in turbulence simulation includes the development of spectral methods for simulating vortex rings, the development of topological methods for interpreting complex fields of data, and simulations of high Reynolds number compressible and incompressible wakes. Theoretical studies include predictions of the asymptotic behavior of drifting vortex pairs and vortex rings and use of group theoretical methods to study the nonlinear dynamics of turbulent fine-scale motions. Current projects include studies of fast-burning fuels for hybrid propulsion and decomposition of nitrous oxide for space propulsion.
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Mark A. Cappelli
Professor of Mechanical Engineering
BioProfessor Cappelli received his B.Sc. degree in Physics (McGill, 1980), and M.A.Sc and Ph.D. degrees in Aerospace Sciences (Toronto, 1983, 1987). He joined Stanford University in 1987 and is currently a Professor in the Department of Mechanical Engineering and Co-Director of the Engineering Physics Program. He carries out research in applied plasma physics with applications to a broad range of fields, including space propulsion, aerodynamics, medicine, materials synthesis, and fusion.
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Matteo Cargnello
Associate Professor of Chemical Engineering, Senior Fellow at the Precourt Institute for Energy and Associate Professor, by courtesy, of Materials Science and Engineering
BioMatteo Cargnello received his Ph.D. in Nanotechnology in 2012 at the University of Trieste, Italy, under the supervision of Prof. Paolo Fornasiero, and he was then a post-doctoral scholar in the Chemistry Department at the University of Pennsylvania with Prof. Christopher B. Murray before joining the Faculty at Stanford University in January 2015. He is currently Associate Professor of Chemical Engineering and, by courtesy, of Materials Science and Engineering and Silas Palmer Faculty Scholar. Dr. Cargnello is the recipient of several awards including the Sloan Fellowship in 2018, the Mitsui Chemicals Catalysis Science Award for Creative Work in 2020, and the Early Career Award in Catalysis from the ACS Catalysis Division in 2022. The general goals of the research in the Cargnello group pertain to solving energy and environmental challenges. The group focuses on capture and conversion of carbon dioxide, emission control and reduction of methane and hydrocarbon emissions in the atmosphere, sustainable chemical practices through electro- and photocatalysis, sustainable production of hydrogen, and chemical recycling of plastics.
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Gunnar Carlsson
Ann and Bill Swindells Professor, Emeritus
BioDr. Carlsson has been a professor of mathematics at Stanford University since 1991. In the last ten years, he has been involved in adapting topological techniques to data analysis, under NSF funding and as the lead PI on the DARPA “Topological Data Analysis” project from 2005 to 2010. He is the lead organizer of the ATMCS conferences, and serves as an editor of several Mathematics journals
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Carissa Carter
Adjunct Professor
BioCarissa Carter is the Academic Director at the Stanford d.school. In this role she guides the development of the d.school’s pedagogy, leads its instructors, and shapes its class offerings. She teaches courses on the intersection of data and design, design for climate change, design for emerging tech, and maps and the visual sorting of information.
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Carter B. Casady
Senior Research Engineer
BioDr. Carter B. Casady is a Senior Research Engineer in the Center for Sustainable Development and Global Competitiveness at Stanford University and a non-resident Senior Fellow in the Center for Transportation Public-Private Partnership Policy at George Mason University. As part of the Stanford Long Term Investing (SLTI) initiative, his research broadly focuses on the governance of long-term investments in infrastructure, particularly via public-private partnerships (PPPs). Prior to re-joining Stanford, Dr. Casady served as a Lecturer (Assistant Professor) in Economics and Finance in the Bartlett School of Sustainable Construction at University College London (UCL) where he also directed the Infrastructure Investment and Finance MSc program. He earned his BSc in Policy Analysis and Management from Cornell University as well as his MSc and PhD in Civil and Environmental Engineering from Stanford University.
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Lynette Cegelski
Monroe E. Spaght Professor of Chemistry and Professor, by courtesy, of Chemical Engineering
Current Research and Scholarly InterestsResearch in the Cegelski laboratory is driven by the need to uncover and define the chemistry that underlies outstanding challenges in human health, the environment, and sustainability. Beyond discovery, we use chemistry as a tool to innovate and create solutions to these pressing problems. The laboratory is highly interdisciplinary, designing experimental approaches to understand how complex biological systems are built, organized, and controlled, and then perturb and influence assembly processes. The lab develops new methods and uniquely leverages: (1) small molecules in new biochemical assay development, chemical genetics approaches, and therapeutic discovery in infectious diseases, (2) fluorescence and electron microscopy coupled to analytical HPLC, mass spectrometry, and complementary biochemical techniques, and (3) spectroscopy, particularly solid-state NMR, to uncover new “dark matter” and define chemistry in insoluble, heterogeneous and complex assemblies relevant to human health, plants, and the ocean.
Long-standing efforts in the laboratory focus on defining mechanisms underlying bacterial biofilm formation and identifying new antibiotic and anti-virulence strategies, including advancing therapeutic candidates for the most difficult-to-treat infections. Through these efforts, we uncovered a new chemical structure in nature: phosphoethanolamine (pEtN) cellulose. Cellulose is the most abundant biopolymer on earth and this discovery provided the first experimental validation of a naturally produced chemically modified cellulose. We are developing alternatively modified celluloses and polysaccharides and advancing new solutions for ecofriendly, sustainably sourced, and recyclable materials. Collectively, our projects span disciplines from molecular structure and assembly chemistry to living microbial communities and natural marine systems, while aiming to translate fundamental discoveries into therapeutic and materials solutions. -
Rahul Chajwa
Basic Life Research Scientist
Current Research and Scholarly InterestsMy HFSP project is focussed on understanding the birth, life and death of marine snow. A predictive understanding of the hydrodynamic, biotic, and non-equilibrium aspects of this sinking microbial ecosystem is a notoriously challenging and globally relevant problem and is the central theme of my research at Stanford University. I’m applying my training as a physicist to shed light on the dynamical aspects of microbial life in the ocean, and to contribute insights that can help mitigate the negative impact of human activities on global climate; something I feel strongly about.
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Fu-Kuo Chang
Professor of Aeronautics and Astronautics
BioProfessor Chang's primary research interest is in the areas of multi-functional materials and intelligent structures with particular emphases on structural health monitoring, intelligent self-sensing diagnostics, and multifunctional energy storage composites for transportation vehicles as well as safety-critical assets and medical devices. His specialties include embedded sensors and stretchable sensor networks with built-in self-diagnostics, integrated diagnostics and prognostics, damage tolerance and failure analysis for composite materials, and advanced multi-physics computational methods for multi-functional structures. Most of his work involves system integration and multi-disciplinary engineering in structural mechanics, electrical engineering, signal processing, and multi-scale fabrication of materials. His recent research topics include: Multifunctional energy storage composites, Integrated health management for aircraft structures, bio-inspired intelligent sensory materials for fly-by-feel autonomous vehicles, active sensing diagnostics for composite structures, self-diagnostics for high-temperature materials, etc.
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Moses Charikar
Donald E. Knuth Professor
Current Research and Scholarly InterestsEfficient algorithmic techniques for processing, searching and indexing massive high-dimensional data sets; efficient algorithms for computational problems in high-dimensional statistics and optimization problems in machine learning; approximation algorithms for discrete optimization problems with provable guarantees; convex optimization approaches for non-convex combinatorial optimization problems; low-distortion embeddings of finite metric spaces.
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Ovijit Chaudhuri
Professor of Mechanical Engineering and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsWe study the physics of cell migration, division, and morphogenesis in 3D, as well cell-matrix mechanotransduction, or the process by which cells sense and respond to mechanical properties of the extracellular matrices. For both these areas, we use engineered biomaterials for 3D culture as artificial extracellular matrices.
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Enze Chen
Lecturer
BioEnze (he/him, '18) is a Lecturer in Materials Science and Engineering (MSE) who teaches a variety of undergraduate MSE courses spanning structure, characterization, energy, computing, and communication. Midway through undergrad, he was introduced to the world of computational materials science and hasn't looked back, completing a PhD in MSE that applied computational tools to study planar defects and materials informatics education. Enze is excited to be back on The Farm and to help advance student success through instruction, advising, and research.
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Helen L. Chen
Research Scientist
BioHelen L. Chen is a research scientist in the Designing Education Lab in the Department of Mechanical Engineering at Stanford University. She holds an undergraduate degree in communication from UCLA and a PhD in communication with a minor in psychology from Stanford. Helen is a board member for the Association for Authentic, Experiential and Evidence-Based Learning (AAEEBL) and is a co-author of Documenting Learning with ePortfolios: A Guide for College Instructors and co-executive editor of the International Journal of ePortfolio. She works closely with the Association of American Colleges and Universities and consults with institutions on general education redesign, authentic assessment approaches, design thinking, and personal branding and ePortfolios. Helen's current research and scholarship focus on engineering and entrepreneurship education; the pedagogy of portfolios and reflective practice in higher education; and redesigning how learning is recorded and recognized in traditional transcripts and academic credentials.
