School of Engineering
Showing 3,401-3,500 of 6,015 Results
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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. -
Yuchen Mei
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioYuchen Mei is an EE Ph.D. student at Stanford University in Prof. Priyanka Raina's group. He received a B.S. degree in Electronic Information Science and Technology from Nanjing University (China) in 2021 and a M.S. degree in Electrical Engineering from Stanford in 2023. He is interested in digital VLSI design, domain-specific accelerators, and design automation.
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Simona Meiler
Postdoctoral Scholar, Civil and Environmental Engineering
BioI am a weather and climate risk scientist, studying how hazard, exposure, and vulnerability interact to shape the risks and impacts of extreme weather events – both today and in a changing climate. My work combines modeling and systems thinking to explore a range of topics, including tropical cyclone risk, uncertainty and sensitivity analysis, human displacement, post-disaster recovery, and systemic risk. My approach is inherently interdisciplinary, with the goal of translating model insights into real-world applications that support climate-resilient decision-making.
I am currently a postdoctoral researcher at Stanford University, supported by an SNSF Postdoc.Mobility fellowship, working with Prof. Jack W. Baker. I completed my PhD at ETH Zurich in weather and climate risk modeling, with a focus on global tropical cyclone risk and uncertainty quantification, under the supervision of Prof. David N. Bresch. -
Luis Mejia
Affiliate, Materials Science and Engineering
BioLuis has been a technology transfer professional at Stanford for over 30 years. He is a volunteer for Climate Donor, Inc. a non-profit that helps fund climate change and species extinction mitigation projects. Prior to joining Stanford he worked on solar energy systems and energy management at Honeywell and Pacific Gas & Electric. He has a degree in Energy Systems Engineering from Arizona State University, is a Fellow of the Disruptor Foundation and is a recipient of an award for Excellence in Technology Transfer from the Department of Energy, Federal Laboratory Consortium.
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Nicholas Melosh
Professor of Materials Science and Engineering
BioThe Melosh group explores how to apply new methods from the semiconductor and self-assembly fields to important problems in biology, materials, and energy. We think about how to rationally design engineered interfaces to enhance communication with biological cells and tissues, or to improve energy conversion and materials synthesis. In particular, we are interested in seamlessly integrating inorganic structures together with biology for improved cell transfection and therapies, and designing new materials, often using diamondoid molecules as building blocks.
My group is very interested in how to design new inorganic structures that will seamless integrate with biological systems to address problems that are not feasible by other means. This involves both fundamental work such as to deeply understand how lipid membranes interact with inorganic surfaces, electrokinetic phenomena in biologically relevant solutions, and applying this knowledge into new device designs. Examples of this include “nanostraw” drug delivery platforms for direct delivery or extraction of material through the cell wall using a biomimetic gap-junction made using nanoscale semiconductor processing techniques. We also engineer materials and structures for neural interfaces and electronics pertinent to highly parallel data acquisition and recording. For instance, we have created inorganic electrodes that mimic the hydrophobic banding of natural transmembrane proteins, allowing them to ‘fuse’ into the cell wall, providing a tight electrical junction for solid-state patch clamping. In addition to significant efforts at engineering surfaces at the molecular level, we also work on ‘bridge’ projects that span between engineering and biological/clinical needs. My long history with nano- and microfabrication techniques and their interactions with biological constructs provide the skills necessary to fabricate and analyze new bio-electronic systems.
Research Interests:
Bio-inorganic Interface
Molecular materials at interfaces
Self-Assembly and Nucleation and Growth -
Lorelay Mendoza Grijalva
Physical Science Research Professional, Chemical Engineering
BioLorelay is an environmental engineering PhD candidate working in the Tarpeh lab at Stanford University. Her research is centered around recovering valuable resources from wastewater and other pollution streams. She earned her undergraduate degree at San Diego State University, where her research focused on detecting river water contamination during storm events.
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Teresa Meng
Reid Weaver Dennis Professor in Electrical Engineering and Professor of Computer Science, Emerita
BioTeresa H. Meng is the Reid Weaver Dennis Professor of Electrical Engineering, Emerita, at Stanford University. Her research activities in the first 10 years focused on low-power circuit and system design, video signal processing, and wireless communications. In 1998, Prof. Meng took leave from Stanford and founded Atheros Communications, Inc., which developed semiconductor system solutions for wireless network communications products. After returning to Stanford in 2000 to continue her teaching and research, Prof. Meng turned her research interest to applying signal processing and IC design to bio-medical engineering. She collaborated with Prof. Krishna Shenoy on neural signal processing and neural prosthetic systems. She also directed a research group exploring wireless power transfer and implantable bio-medical devices. Prof. Meng retired from Stanford in 2013.
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Jeannie Meyer
Associate Director of Events, School of Engineering - External Relations
Current Role at StanfordPlan and coordinate donor relations, alumni relations and student outreach activities for the Dean's office in the School of Engineering.
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Bennet Meyers
Adjunct Professor, Electrical Engineering
BioI am a Staff Scientist with SLAC National Accelerator Laboratory, in the Grid Integration Systems and Mobility (GISMo) Lab in the Applied Energy Division. I completed my PhD in Electrical Engineering at Stanford University in Winter 2023, advised by Prof. Stephen Boyd. We recently wrote a book on signal decomposition, which can be found under my publications tab. More info available on my personal website.
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David Miller
W.M. Keck Foundation Professor of Electrical Engineering, Emeritus
Current Research and Scholarly InterestsDavid Miller’s research interests include the use of optics in switching, interconnection, communications, computing, and sensing systems, physics and applications of quantum well optics and optoelectronics, and fundamental features and limits for optics and nanophotonics in communications and information processing.
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Kyle Iman Miller
Undergraduate, Materials Science and Engineering
BioI'm a 2024 graduate of South Eugene High School in Oregon, passionate about triathlons, wilderness exploration, and environmental sustainability.
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Marek Miltner
Affiliate, Program-Rajagopal, R.
BioMarek is a researcher and postgraduate student in the fields of Artificial Intellignence for Energy Sustainability, and Technology Policy connected to it. He has also been teaching Computer Science courses at university level since 2018, and at Stanford since 2020.
He has received an MPhil in Technology Policy from the University of Cambridge (UK), and an MEng in Innovation Management and Artificial Intelligence from Czech Technical University (EU). In the past, he has led a research team that built the first autonomous electric vehicle in the Czech Republic. -
Lloyd B. Minor, MD
The Carl and Elizabeth Naumann Dean of the School of Medicine, Vice President for Medical Affairs, Stanford University, Professor of Otolaryngology - Head and Neck Surgery and Professor of Neurobiology and of Bioengineering, by courtesy
Current Research and Scholarly InterestsThrough neurophysiological investigations of eye movements and neuronal pathways, Dr. Minor has identified adaptive mechanisms responsible for compensation to vestibular injury in a model system for studies of motor learning. Following his discovery of superior canal dehiscence, he published a description of the disorder’s clinical manifestations and related its cause to an opening in the bone covering of the superior canal. He subsequently developed a surgical procedure to correct the problem.
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Brando Miranda
Ph.D. Student in Computer Science, admitted Autumn 2022
BioBio
Brando Miranda is a current Ph.D. Student at Stanford University under the supervision of Professor Sanmi Koyejo in the department of Computer Science. Previously he has been a graduate student at University of Illinois Urbana-Champaign, Research Assistant at MIT’s Center for Brain Minds and Machines (CBMM), and graduate student at the Massachusetts Institute of Technology (MIT). Miranda’s research interests lie in the field of meta-learning, foundation models for theorem proving, and human & brain inspired Artificial Intelligence (AI). Miranda completed his Master of Engineering in Electrical Engineering and Computer Science under the supervision of Professor Tomaso Poggio – where he did research on Deep Learning Theory. Miranda has been the recipient of several awards, including Most Cited Paper Certificate awarded by International Journal of Automation & Computing (IJAC), two Honorable Mention with the Ford Foundation Fellowship, Computer Science Excellence Saburo Muroga Endowed Fellow, Stanford School of Engineering fellowship, and is currently an EDGE Scholar at Stanford University.
About me (Informal)
I am a scientist and an engineer that is interested in moving forward the powerful and beautiful field of A.I. closer to true Artificial General Intelligence (AGI). I believe an important direction is understanding how to combine cognitive and neuro-inspired models, specially investigating how reasoning and learning work together. In addition, I also believe being able to adapt to new tasks using prior experience and knowledge is crucial for AGI to occur. Consequently, I decided to pursue a Ph.D in AI and machine learning. I currently work on meta-learning and machine learning (ML) for Theorem Proving (TP) at Stanford University. -
Eduardo Miranda
Professor of Civil and Environmental Engineering
Current Research and Scholarly InterestsRegional seismic risk assessment, ground motion directionality
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Azalia Mirhoseini
Assistant Professor of Computer Science
BioAzalia Mirhoseini is an Assistant Professor of Computer Science at Stanford University where she directs Scaling Intelligence, a research lab focused on developing scalable and self-improving AI systems. She is a co-founder of Ricursive Intelligence, a frontier lab dedicated to recursive self-improvement through AI that designs the chips that fuel it. Previously, she spent several years in industry AI labs, including Google Brain, Anthropic, and Google DeepMind, working on Gemini and Claude, among other projects. Her past work includes Mixture-of-Experts (MoE) neural architectures, now predominantly used in leading frontier AI models; AlphaChip, a reinforcement learning approach for layout optimization used in the design of advanced chips like Google AI accelerators (TPUs) and data center CPUs; as well as pioneering research on LLM Test-Time Scaling. Her work has been recognized through the Okawa Research Grant, the Google ML and Systems Junior Faculty Award, MIT Technology Review's 35 Under 35 Award, the Best ECE Thesis Award at Rice University, publications in flagship venues such as Nature, and coverage by various media outlets, including WSJ, NYT, Forbes, MIT Technology Review, IEEE Spectrum, WIRED, and TechCrunch.
