School of Engineering
Showing 101-200 of 405 Results
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Megan Martin
Ph.D. Student in Bioengineering, admitted Autumn 2024
Current Research and Scholarly InterestsCharacterization of brain waste clearance with motion-encoding MRI
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Todd Martinez
David Mulvane Ehrsam and Edward Curtis Franklin Professor of Chemistry and Professor of Photon Science
Current Research and Scholarly InterestsAb initio molecular dynamics, photochemistry, molecular design, mechanochemistry, graphical processing unit acceleration of electronic structure and molecular dynamics, automated reaction discovery, ultrafast (femtosecond and attosecond) chemical phenomena
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Ryosuke Mashiko
Ph.D. Student in Electrical Engineering, admitted Autumn 2025
BioRyosuke Mashiko is a Ph.D. student in the Department of Electrical Engineering at Stanford University. He graduated from the University of Tokyo with a B.E. (2022) and an M.E. (2024), where he worked on computational imaging based on unsupervised learning and large-scale optical computing. Currently, he works on integrated photonics for sensing and computing applications.
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Alessandra Massa, PhD
Postdoctoral Scholar, Bioengineering
BioPostdoctoral Fellow (Stanford Bio-X Fellowship), Head of FUNGAL FOOD LAB.
Alessandra earned her PhD in Gastronomy Sciences from the Basque Culinary Centre (Mondragon University), where her research explores filamentous fungi as an innovative platform for food development — with applications spanning the food industry and restaurant contexts. She has worked with food-tech startups such as Esencia Foods and NoMy Japan to develop mycelium-based products and alternative proteins, and has collaborated with Michelin-starred restaurants including Azurmendi, Culler de Pau, and Mugaritz.As a Postdoctoral Researcher at Hill-Maini Lab, Alessandra works at the crossroads of bioengineering and gastronomy, using Neurospora intermedia as a tool to transform food waste into, nutritious and delicious foods. Her work sits at the intersection of science, industry, and gastronomy — driven by a deep passion for finding solutions to real-world food challenges. Just as fungi spread through their mycelium, Alessandra is on a mission to spread gastronomy across disciplines around the campus! -
Blake Masters
Graduate, Computer Science
BioDesign and implementation of artificial intelligence systems.
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Gilbert Masters
Professor (Teaching) of Civil and Environmental Engineering, Emeritus
BioGILBERT M. MASTERS
MAP EMERITUS PROFESSOR OF SUSTAINABLE ENERGY
B.S. (1961) AND M.S. (1962) UNIVERSITY OF CALIFORNIA, LOS ANGELES
PH.D. (1966) Electrical Engineering, STANFORD UNIVERSITY
Gil Masters has focused on energy efficiency and renewable energy systems as essential keys to slowing global warming, enhancing energy security, and improving conditions in underserved, rural communities. Although officially retired in 2002, he has continued to teach CEE 176A: Energy-Efficient Buildings, and CEE 176B: Electric Power: Renewables and Efficiency. He is the author or co-author of ten books, including Introduction to Environmental Engineering and Science (3rd edition, 2008), Renewable and Efficient Electric Power Systems, (2nd edition, 2013), and Energy for Sustainability: Technology, Policy and Planning (2nd edition, 2018). Professor Masters has been the recipient of a number of teaching awards at Stanford, including the university's Gores Award for Excellence in Teaching, and the Tau Beta Pi teaching award from the School of Engineering. Over the years, more than 10,000 students have enrolled in his courses. He served as the School of Engineering Associate Dean for Student Affairs from 1982-1986, and he was the Interim Chair of the Department of Civil and Environmental Engineering in 1992-93. -
Meagan Mauter
Associate Professor Civil & Environmental Engineering, of Photon Science, Senior Fellow at the Woods Institute for the Environment and at the Precourt Institute for Energy and Associate Professor, by courtesy, of Chemical Engineering
BioProfessor Meagan Mauter is appointed as an Associate Professor of Civil & Environmental Engineering and as a Center Fellow, by courtesy, in the Woods Institute for the Environment. She directs the Water and Energy Efficiency for the Environment Lab (WE3Lab) with the mission of providing sustainable water supply in a carbon-constrained world through innovation in water treatment technology, optimization of water management practices, and redesign of water policies. Ongoing research efforts include: 1) developing automated, precise, robust, intensified, modular, and electrified (A-PRIME) water desalination technologies to support a circular water economy, 2) identifying synergies and addressing barriers to coordinated operation of decarbonized water and energy systems, and 3) supporting the design and enforcement of water-energy policies.
Professor Mauter also serves as the research director for the National Alliance for Water Innovation, a $110-million DOE Energy-Water Desalination Hub addressing water security issues in the United States. The Hub targets early-stage research and development of energy-efficient and cost-competitive technologies for desalinating non-traditional source waters.
Professor Mauter holds bachelors degrees in Civil & Environmental Engineering and History from Rice University, a Masters of Environmental Engineering from Rice University, and a PhD in Chemical and Environmental Engineering from Yale University. Prior to joining the faculty at Stanford, she served as an Energy Technology Innovation Policy Fellow at the Belfer Center for Science and International Affairs and the Mossavar Rahmani Center for Business and Government at the Harvard Kennedy School of Government and as an Associate Professor of Engineering & Public Policy, Civil & Environmental Engineering, and Chemical Engineering at Carnegie Mellon University. -
Michaëlle Ntala Mayalu
Assistant Professor of Mechanical Engineering and, by courtesy, of Bioengineering
BioDr. Michaëlle N. Mayalu is an Assistant Professor of Mechanical Engineering. She received her Ph.D., M.S., and B.S., degrees in Mechanical Engineering at the Massachusetts Institute of Technology. She was a postdoctoral scholar at the California Institute of Technology in the Computing and Mathematical Sciences Department. She was a 2017 California Alliance Postdoctoral Fellowship Program recipient and a 2019 Burroughs Wellcome Fund Postdoctoral Enrichment Program award recipient. She is also a 2023 Hypothesis Fund Grantee.
Dr. Michaëlle N. Mayalu's area of expertise is in mathematical modeling and control theory of synthetic biological and biomedical systems. She is interested in the development of control theoretic tools for understanding, controlling, and predicting biological function at the molecular, cellular, and organismal levels to optimize therapeutic intervention.
She is the director of the Mayalu Lab whose research objective is to investigate how to optimize biomedical therapeutic designs using theoretical and computational approaches coupled with experiments. Initial project concepts include: i) theoretical and experimental design of bacterial "microrobots" for preemptive and targeted therapeutic intervention, ii) system-level multi-scale modeling of gut associated skin disorders for virtual evaluation and optimization of therapy, iii) theoretical and experimental design of "microrobotic" swarms of engineered bacteria with sophisticated centralized and decentralized control schemes to explore possible mechanisms of pattern formation. The experimental projects in the Mayalu Lab utilize established techniques borrowed from the field of synthetic biology to develop synthetic genetic circuits in E. coli to make bacterial "microrobots". Ultimately the Mayalu Lab aims to develop accurate and efficient modeling frameworks that incorporate computation, dynamical systems, and control theory that will become more widespread and impactful in the design of electro-mechanical and biological therapeutic machines. -
David Mazieres
Professor of Computer Science
BioMazieres investigates ways to improve the security of operating systems, file systems, and distributed systems. In addition, he has worked on large-scale peer-to-peer systems and e-mail privacy.
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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. -
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.
