School of Engineering
Showing 1-20 of 47 Results
Professor of Mechanical Engineering and, by courtesy, of Materials Science and EngineeringOn Leave from 10/01/2023 To 12/31/2023
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.
Associate Professor of Bioengineering and, by courtesy, of Neurosurgery
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.
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.
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.
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.
Associate Professor of Chemical 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.
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
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.
Dennis R Carter
Professor of Mechanical Engineering, Emeritus
Current Research and Scholarly InterestsProfessor Carter studies the influence of mechanical loading upon the growth, development, regeneration, and aging of skeletal tissues. Basic information from such studies is used to understand skeletal diseases and treatments. He has served as President of the Orthopaedic Research Society and is a Fellow of the American Institute for Medical and Biological Engineering.
BioDr. Carter B. Casady is a 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.
Associate Professor of Chemistry and, by courtesy, of Chemical Engineering
Current Research and Scholarly InterestsOur research program is inspired by the challenge and importance of elucidating chemical structure and function in complex biological systems and the need for new strategies to treat infectious diseases. The genomics and proteomics revolutions have been enormously successful in generating crucial "parts lists" for biological systems. Yet, for many fascinating systems, formidable challenges exist in building complete descriptions of how the parts function and assemble into macromolecular complexes and whole-cell factories. We have introduced uniquely enabling problem-solving approaches integrating solid-state NMR spectroscopy with microscopy and biochemical and biophysical tools to determine atomic- and molecular-level detail in complex macromolecular assemblies and whole cells and biofilms. We are uncovering new chemistry and new chemical structures produced in nature. We identify small molecules that influence bacterial assembly processes and use these in chemical genetics approaches to learn about bacterial cell wall, amyloid and biofilm assembly.
Translationally, we have launched a collaborative antibacterial drug design program integrating synthesis, chemical biology, and mechanistic biochemistry and biophysics directed at the discovery and development of new antibacterial therapeutics targeting difficult-to-treat bacteria.
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.
Ying Chih Chang
BioDr. Ying Chang is an Adjunct Professor of the Department of Chemical Engineering and Chair of Taiwan Science and Technology Hub at Stanford University. She is also a Research Fellow at the Genomics Research Center, Academia Sinica. Formerly, she was an Assistant Professor in the Department of Chemical Engineering and Materials Science, and the Department of Biomedical Engineering at the University of California-Irvine, Irvine, CA. Prior to her academic appointments, Dr. Chang had worked in various industrial R&D laboratories including as a Senior Engineer for the hard drive media at Maxmedia California, San Jose, CA (now Seagate), a Postdoctoral Scientist for the materials design of GeneChip at Affymetrix Corp, Santa Clara, CA (now Thermal Fisher Scientific). Her invention in single cell derived 3D organoid scaffold free culture system has led to Acrocyte Therapeutics, Inc. which she currently serves as the Chief Executive Officer. Highlights of her research include integrated nanomaterials, microfluidics, and bioreactors to control stem cell fates for tissue engineering and liquid biopsy for cancer diagnostics and precision medicine. Dr. Chang received her BS from National Taiwan University and PhD from Stanford University in Chemical Engineering.
Donald E. Knuth Professor and Professor, by courtesy, of Mathematics
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.
Associate Professor of Mechanical Engineering and, by courtesy, of BioengineeringOn Partial Leave from 10/01/2023 To 06/30/2024
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.