School of Engineering
Showing 151-200 of 409 Results
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Jay McClelland
Lucie Stern Professor in the Social Sciences, Professor of Psychology and, by courtesy, of Linguistics and of Computer Science
Current Research and Scholarly InterestsMy research addresses topics in perception and decision making; learning and memory; language and reading; semantic cognition; and cognitive development. I view cognition as emerging from distributed processing activity of neural populations, with learning occurring through the adaptation of connections among neurons. A new focus of research in the laboratory is mathematical cognition and reasoning in humans and contemporary AI systems based on neural networks.
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Conor McClune
Basic Life Research Scientist, Chemical Engineering
BioI develop systematic approaches for studying the plasticity of life at the molecular level, especially the bioactive compounds in plants we consume as food or medicine.
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Matthew McCready
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioI am a 1st year PhD Student in Electrical Engineering at Stanford, with a M.Sc in Physics from The University of Western Ontario. I have over 4 years of research experience across various projects in medical and condensed matter physics. My interests focus on the design and development of tools that improve quality of life through the application of physics.
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Mary McDevitt
Lecturer, School of Engineering - Technical Communications Program
BioDirector of the Technical Communication Program in the School of Engineering.
Completed PhD in English (medieval literature) at Stanford in 1993. -
Molly McFadden
Acting Assistant Professor, Materials Science and Engineering
BioMolly McFadden is an incoming assistant professor in the department of Materials Science and Engineering at Stanford University (beginning January 2027). The McFadden research group works at the interface of materials science and synthetic chemistry, using strain-promoted reactions to enable both new syntheses and new applications of soft materials. Her research combines transition-metal catalysis, polymer synthesis, and holistic materials characterization to link a polymer's primary structure and its mechanical response.
Plastics are subject to mechanical forces at every stage of their lives, from synthesis and processing to their use lifetime and ultimately to their recycling. These forces are usually treated as a liability: both extrusion and strain during use break chains, degrading the material. The McFadden group instead treats strain as a strategic and synthetic tool. Force acts across every length scale, impacting everything from the bulk properties and integrity of a material down to the electronic structure of a single bond. Further, the electronic impact of elongational strain accessible in polymer backbones remains far less understood than the contracted angular strain in small cyclic molecules known to enable unique reactivity. Force-responsive molecular switches, or mechanophores, let a material report on the stress it experiences, both as tools to map how stress propagates through soft materials and as the basis for stimuli-responsive materials with applications from smart plastics to biomedical sensing and therapeutics. The group uses catalytic and molecular approaches to understand these forces, to prevent the damage they cause, and ultimately to harness their energy to drive productive reactions to discover and synthesize new materials.
Prior to joining Stanford, Prof. McFadden was a Kathryn A. Day Miller Postdoctoral Research Fellow at the University of California, Berkeley, working with Prof. John Hartwig on selective transition-metal-catalyzed C–H functionalization of commodity polyolefins to yield more sustainable plastics. She received her B.S. in Biochemistry from Indiana University and her Ph.D. in Chemistry from Caltech, where she worked with Prof. Maxwell Robb on the design of molecular mechanophores for force-responsive polymeric materials. -
Robert McGinn
Professor (Teaching) of Management Science and Engineering, Emeritus
Current Research and Scholarly Interestsexploration of ethical issues related to nanotechnology
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Angela McIntyre
Academic Prog Prof 3, Program-Bao Z.
Current Role at StanfordAngela McIntyre is the Executive Director of the Stanford Wearable Electronics (eWEAR) Initiative. She manages the eWEAR affiliates program and provides member companies opportunities to connect with research and events related to wearables at Stanford University. As a primary contact to eWEAR, Angela fosters membership, assists in forming collaborations between industry and faculty, leads eWEAR events, and is an evangelist for wearables research at Stanford.
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Paul McIntyre
Rick and Melinda Reed Professor, Professor of Photon Science and Senior Fellow at the Precourt Institute for Energy
BioMcIntyre's group performs research on nanostructured inorganic materials for applications in electronics, energy technologies and sensors. He is best known for his work on metal oxide/semiconductor interfaces, ultrathin dielectrics, defects in complex metal oxide thin films, and nanostructured Si-Ge single crystals. His research team synthesizes materials, characterizes their structures and compositions with a variety of advanced microscopies and spectroscopies, studies the passivation of their interfaces, and measures functional properties of devices.
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Beverley J McKeon
Professor of Mechanical Engineering
BioBeverley McKeon is Professor of Mechanical Engineering at Stanford University. Previously she was the Theodore von Karman Professor of Aeronautics at the Graduate Aerospace Laboratories at Caltech (GALCIT) and a former Deputy Chair of the Division of Engineering and Applied Science. She received M.A. and M.Eng. degrees from the University of Cambridge and a Ph.D. in Mechanical and Aerospace Engineering from Princeton University. Her research interests include interdisciplinary approaches to manipulation of boundary layer flows using morphing surfaces, fundamental experimental investigations of wall turbulence at high Reynolds number, the development of resolvent analysis for modeling turbulent flows, and assimilation of experimental data for efficient low-order flow modeling. McKeon was the recipient of a Vannevar Bush Faculty Fellowship from the DoD in 2017, a Presidential Early Career Award (PECASE) in 2009 and an NSF CAREER Award in 2008, and is a Fellow of the APS and AIAA. She currently serves as co-Lead Editor of Phys. Rev. Fluids and on the editorial board of the Annual Review of Fluid Mechanics, and is past Editor-in-Chief of Experimental Thermal and Fluid Science. She is the Past Chair of the US National Committee on Theoretical and Applied Mechanics and the APS representative.
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Nick McKeown
Kleiner Perkins, Mayfield, Sequoia Capital Professor in the School of Engineering and Professor of Computer Science, Emeritus
BioMcKeown researches techniques to improve the Internet. Most of this work has focused on the architecture, design, analysis, and implementation of high-performance Internet switches and routers. More recently, his interests have broadened to include network architecture, backbone network design, congestion control; and how the Internet might be redesigned if we were to start with a clean slate.
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Eileen McNamara
Research Program Manager, Program-Skylar-Scott, M.
Current Role at StanfordResearch Program Coordinator
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Andres Medina
Graduate, Stanford Center for Professional Development
BioAndres Medina has a B.S. in Mechanical Engineering from San José State University. After graduating in December, 2024, he transitioned into the industry with a focus on precision testing.
Today, as an Associate Test Engineer at KLA Corporation, Andres handles optics integration on advanced KLA Tools that leave no room for error. His background is a blend of technical rigor and operational leadership, having previously managed teams in a general management capacity. Andres stays sharp by applying his mechatronics background to his career and maintaining a disciplined approach to health and personal growth. -
Anay Mehrotra
Postdoctoral Scholar, Management Science and Engineering
BioI am a Postdoctoral Scholar at Stanford, where I am excited to work with Amin Saberi. I completed my Ph.D. at Yale University where I was fortunate to be advised by Amin Karbasi and Manolis Zampetakis.
My research focuses on machine learning under complex conditions where traditional assumptions break down. My work has two parts. First, I develop foundations for machine learning with missing and selectively observed data (spanning causal inference, limited-dependence, truncated statistics, and omissions shaped by societal biases). Second, I study why generative AI systems (including language models) are effective and design methods to evaluate and improve their safety.
My work has received the Best Paper Award at COLT, been featured in WIRED, and received the Sir Binay Kumar Sinha award from IIT Kanpur. As an undergraduate, I represented IIT Kanpur at the ICPC World Final. While at Yale, I also taught at the Yale ICPC Club.
