School of Engineering
Showing 3,101-3,200 of 5,910 Results
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Dr. Michael T. Longaker
Deane P. and Louise Mitchell Professor in the School of Medicine and Professor, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsWe have six main areas of current interest: 1) Cranial Suture Developmental Biology, 2) Distraction Osteogenesis, 3) Fibroblast heterogeneity and fibrosis repair, 4) Scarless Fetal Wound Healing, 5) Skeletal Stem Cells, 6) Novel Gene and Stem Cell Therapeutic Approaches.
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Samuel Low
Ph.D. Student in Aeronautics and Astronautics, admitted Winter 2023
Ph.D. Minor, Electrical Engineering
Student Employee, Summer SessionBioSamuel Low is a Ph.D. candidate in the Stanford Space Rendezvous Laboratory, advised by Professor Simone D'Amico. Sam graduated from Stanford with an M.S. in Aeronautics and Astronautics (2023) and from the Singapore University of Technology and Design (SUTD) with a B.Sc. in Engineering Product Development (2018). His broad interests are in the guidance, navigation, control and autonomy of distributed space systems, such as formations and swarm satellites. His research focus is on enabling precise and robust state estimation between distributed spacecraft, centered on sensor/data fusion with carrier phase differential GNSS, with immediate applications to flight missions such as the VISORS and SWARM-EX missions. He had worked previously in DSO National Laboratories, Singapore, on space mission design and on developing navigation algorithms for Singapore's first formation flying satellite mission. He received the DSO Postgraduate Fellowship (2021), the Tan Kah Kee Postgraduate Scholarship (2021), the DSO SOAR Scholarship (2017), and the Asian Leadership Program Scholarship (2015-2018) jointly awarded by SUTD and Zhejiang University. In his spare time, he enjoys photography, painting, and outdoor activities.
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Trevor Loy
Instructor, Stanford Engineering Center for Global and Online Education
BioTrevor Loy is the Managing Partner and Founder of Flywheel Ventures, a seed- and early-stage venture capital firm that has invested in emerging startup ecosystems for more than twenty-five years.
As an Adjunct Lecturer at Stanford, Trevor teaches entrepreneurial management and finance in the Management Science & Engineering Department, where he is affiliated with the Stanford Technology Ventures Program, a research and teaching center he helped create as a graduate student. He also teaches professional and executive education programs for the Stanford Engineering Center for Global & Online Education, as well as for global companies, universities, governments, and sovereign wealth funds.
Trevor shapes venture capital and entrepreneurship policy as a former director of the National Venture Capital Association and a current member of its Board Alumni Council. He also served as Chair of VenturePAC, the venture capital industry's national political action committee, and is a frequent expert witness in private litigation and government policymaking worldwide.
Before founding Flywheel, Trevor held founding, executive, and technical roles at startups including Brooktree, Gigabeat, and ParkingNet, as well as at large tech firms such as Intel, Rockwell, and Teradyne.
He holds a BS and MS in Electrical Engineering and an MS in Management Science & Engineering, all from Stanford University. -
Shengyuan Lu
Masters Student in Electrical Engineering, admitted Autumn 2026
BioHi Shengyuan, I am guys.
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Cuyler Luck
Postdoctoral Scholar, Bioengineering
Current Research and Scholarly InterestsI am a primarily lab-based (but computationally competent) biologist with a broad interest in understanding both how cells evolve to cause disease and how we might leverage similar strategies to engineer new behaviors into organisms. I enjoy doing science in diverse research areas (previously including malaria, chromatin remodeling in yeast, and several types of cancer), and I am excited to continue this trend by building synthetic biology tools for deployment in plants as a postdoc.
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David Luckham
Professor (Research) of Electrical Engineering, Emeritus
BioProfessor (Research) Emeritus of Electrical Engineering.
Research Professor of Electrical Engineering, Stanford University, 1977 to 2003.
Vinton Hayes Senior Research Fellow, Harvard University, 1976.
Senior Research Associate, Stanford Artificial Intelligence Laboratory, 1972-1977.
Associate Professor, UCLA Computer Science Department, 1970-1972.
Professor Luckham's research and consulting activities in software technology include multi-processing and business processing languages, event-driven systems, complex event processing, commercial middleware, program verification, systems architecture modelling and simulation, and artificial intelligence (automated deduction and reasoning systems).
Prof. Luckham has held faculty and invited faculty positions in both mathematics and computer science at eight major universities in Europe and the United States. He has been an invited lecturer, keynote speaker, panelist, and USA delegate at many international conferences and congresses. Until 1999 he was a member of the Computer Systems Laboratory, Stanford University and directed the Program Analysis and Verification Project. He taught courses on Artifical Intelligence and automated deduction, programming languages and program verification, the Anna verification system, systems prototyping and simulation languages, and Complex Event Processing. He was one of the founders of Rational Software, Inc. in 1981.
In the past he has served on review committees during the DoD Ada Language design competition, and was a Distinguished Reviewer on the DoD Ada9X design project. In 1993-94 he was a member of the TRW Independent Assessment Team tasked with reviewing the FAA's Advanced Automation System for the FAA, and in 1994-96 he was a distinguished reviewer for the DoD High Level Language for modelling and simulation. He has published four books and over 100 technical papers; two ACM/IEEE Best Paper Awards, several papers are now in historical anthologies and book collections. His 2002 book is a benchmark introduction to complex event processing, "The Power of Events" . His 2012 book , "Event Processing for Business" documents current applications of Complex Event Processing in many areas of Information Technology. -
Sumantra Luitel
Masters Student in Mechanical Engineering, admitted Autumn 2025
BioI am a Thermal Mechanical Engineer working in the electric vehicle space, with a strong interest in thermo-fluid modeling and analysis. More recently, I have also been working on thermal modeling for AI data centers.
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Emma Lundberg
Associate Professor of Bioengineering and of Pathology
BioDr. Emma Lundberg is an Associate Professor of Bioengineering and Pathology at Stanford University and serves at the Director of the Cell Atlas of the Human Protein Atlas initiative in Sweden, where she is also Professor at KTH Royal Institute of Technology. At the intersection of bioimaging, proteomics, and artificial intelligence, her research aims to define the spatiotemporal organization of the human proteome at both cellular and subcellular level. Dr. Lundberg aims to develop integrated models of human cells to elucidate how variations in protein localization patterns influence cellular function, ultimately enabling the simulation of cell behavior and a systems-level understanding of how biological information is spatially encoded. The Lundberg Lab is responsible for creating the Subcellular Atlas of the Human Protein Atlas database (https://www.proteinatlas.org/). Dr. Lundberg is dedicated to building virtual cell models to simulate cell behavior, and is passionate about engaging the public in her work through citizen science games and computational challenges.
Dr. Lundberg holds a Master’s degree in Bioengineering and a PhD in Biotechnology from KTH Royal Institute of Technology in Sweden. She has served as Secretary General of the Human Proteome Organization, and is actively involved in advisory roles for numerous open-access databases and cell mapping efforts such as the CZI AI Virtual Cell, Human Cell Atlas consortium, UniProt db, Reactome db, Human Proteome Project and various pharma and biotech companies. As a token of her leadership skills and advocate for open science, she was twice recognized as top 10 under 40 for future leaders in biopharma and omics. -
Joshua Lunger
Ph.D. Student in Computer Science, admitted Autumn 2026
Bio2025 undergraduate visiting research intern in the Linderman lab.
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Ming Luo
Associate Director for Global Engineering Programs, Global Engineering Programs
Current Role at StanfordAs the associate director of Global Engineering Programs, Ming is managing several School of Engineering programs including UGVR, Global Engineering Internship, etc.
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Xue Luo
Affiliate, Civil and Environmental Engineering
Visiting Scholar, Civil and Environmental EngineeringBioDr. Xue Luo is a Visiting Professor at Stanford University and a Professor at Zhejiang University, China. Her research lies at the intersection of transportation infrastructure engineering, mechanics, and artificial intelligence. She received her B.E. from Zhejiang University and Ph.D. in Civil Engineering from Texas A&M University in 2012. Prior to joining Zhejiang University in 2017, she spent over ten years at the Texas A&M Transportation Institute, contributing to NCHRP, FHWA, and state DOT projects in transportation infrastructure.
Dr. Luo’s recent research focuses on transportation infrastructure intelligence and resilience. By integrating multiscale and multiphysics modeling, data analytics, and artificial intelligence, she develops physics-informed approaches that bridge engineering mechanisms and AI, enabling transportation infrastructure systems to perceive, predict, reason, and support decision-making under complex and evolving conditions. Her work advances resilient and sustainable infrastructure through innovations in materials, structural systems, and environmental adaptation, with the goal of extending service life, reducing life-cycle costs, and enhancing system reliability under increasingly demanding operational and climate conditions.
Beyond academic research, Dr. Luo works closely with transportation agencies, infrastructure owners, and industry partners to translate scientific advances into engineering practice. She has established long-term collaborations with transportation authorities, highway operators, and research institutes in Zhejiang Province and across China, contributing to the development of intelligent infrastructure systems, network-level performance assessment platforms, and data-driven maintenance decision-making frameworks. Her work has supported the monitoring, evaluation, and management of large-scale transportation infrastructure networks, helping advance the digital transformation, resilience, and sustainability of transportation systems.
Dr. Luo has led and contributed to numerous national, federal-, and state-funded research projects in both China and the United States. She has published over 200 journal and conference papers and has independently supervised more than 30 doctoral and master students. She serves on the editorial boards of several international journals and actively contributes to the research community through conference organization, peer review, and evaluations of industry standards and technical specifications.
Dr. Luo’s long-term vision is to connect physical understanding, predictive simulation, autonomous decision-making, and intervention strategies to enable the next generation of intelligent and resilient transportation infrastructure. -
Robert Lupoiu
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioRobert is a PhD candidate in Electrical Engineering, co-advised by Jonathan Fan and Ivan Soltesz. His research is generously supported by the Knight-Hennessy Scholars program.
Robert's work has been focused on pushing the boundaries of optical engineering and neuroscience through innovations in machine learning and applied physics. Most recently, he developed agentic reasoning frameworks that leverage a new class of ultra-fast and general Maxwell surrogate solvers to power the automated design of multi-objective, multi-wavelength metasurfaces in near real-time (as opposed to weeks of manual specialized design work). -
Michael Lyons
Adjunct Lecturer, Civil and Environmental Engineering
Bio-Co-founded Zilkha Venture Partners; sourced investments that returned 5.8x ; rated Top 5% by Cambridge Associates
-Venture Partner at four other Funds including DFJ/ePlanet I & II, Paladin Capital Group- Deals created $50B+ in market value
-Co-founder, CEO or Chairman or C-Suite of 12 Companies including Integrated Systems (INTS, merged with WIND, acq. by Intel), Shadow Networks acq. by Alcalvio), and CypherPath
(acq. by ManTech); co-founding CEO, SafeView (Acq. By L3-Harris then Leidos) Returned 78% IRR for Series A and 163% IRR for Series B investors
-Currently Chairman PrecisionOSTech (Surgical VR Training); and Turbo Protocol (Web 3 Blockchain ); co-founder & CEO (emeritus), RapidAscent (Cyber Ed); Director RTI, global
leader in IIoT; General Partner, NativeFirst Capital
-Co-founder, Numerous SCPD exec Ed Programs, Idea to Market online program, Price-Babson Fellow in eShip Education
He is also a Managing Director of NewLine Ventures, LLC, a management consulting firm. From 2008 to 2011, he also served as a Venture Partner with the Paladin Capital Group in Washington, D.C., and as a Venture Partner for ePlanet Ventures I and II. He founded SafeView, Inc. in 2002, a Government Laboratory (PNNL) spinout, to address aspects of the anti-terrorist physical security market; He served as Chairman until its sale to L3 Harris in March 2006. Leidos then acquired the Company in 2020. This technology is now the security standard in airports worldwide.
Concurrently, Mr. Lyons is an Adjunct Lecturer at the Stanford University Department of Civil and Environmental Engineering. Serving in the Stanford position since 1988, he was a co-developer of the Stanford Technology Ventures Program with Prof. Tom Byers and the founding professor of Technology Venture Formation. Engineering. He is the co-creator of the Stanford Innovation and Entrepreneurship two-week program for existing high-tech companies produced and managed by the Stanford Center for Professional Development (SCPD). This program has just completed its 14th year. He has co-produced and delivered numerous other SCPD and STVP programs. He co-founded the Ratio Academy focused on creating training platforms for entrepreneurial education, with a co-developed online program with SCPD called Idea to Market, I2M. He is the founding professor of Tech Venture Formation, MSE273.
From 1980 to 1991, he was a co-founder, a Vice-President, and a Director of Integrated Systems Inc. (INTS, founded 1980), a leading implementer of high-performance real-time control systems for aircraft, automotive, and manufacturing applications. INTS was fundamentally a spinout from the Lockheed Palo Alto Research Lab and Systems Control, Inc. The Company was merged with WindRiver Systems in 1999. WindRiver was acquired by Intel in 2009.
Mr. Lyons received a Bachelor and Masters (equivalent) in Engineering Physics from Cornell University, an MSEE from Stanford, did Ph.D research in Aero/Astro at Stanford (abd) and an MBA, with Distinction, from the Pepperdine Presidential/Key Executive Program. He is a graduate of the Stanford/AEA Institute for the Management of High Technology Companies and a Price-Babson Fellow in Entrepreneurship Education. He holds an FAA multi-Engine Airline Transport Pilot License and Certified Flight Instructor Certificates for Instrument and Multi-Engine Aircraft. He is an avid sailor and motorcyclist. -
Ade Mabogunje
Senior Research Engineer, Mechanical Engineering
BioAde Mabogunje conducts research on the design thinking process with a view to instrumenting and measuring the process and giving feedback to design thinking teams on ways to improve their performance. He works in collaboration with partners in the engineering education, design practice and investment community as a participant-observer in the practice of building and developing ecosystems that support accelerated and continuous innovation in products and services. Prior to this he was the associate director of the Stanford Center for Design Research (CDR). He was also the lead of the Real-time Venture Design Lab program (ReVeL) in the school of Humanities and Sciences. His industry experience includes engineering positions at the French Oil Company Elf (now Total) and research collaboration with Artificial Intelligence Scientists at NASA Ames. He has publications in the areas of design theory and methodology, knowledge management, emotions in engineering, design protocol analysis, and engineering-design education.
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Viviana Macarelli
Postdoctoral Scholar, Bioengineering
BioViviana earned her PhD in Clinical Biochemistry from the University of Cambridge (UK) in 2024, where she focused on the role of primary cilia in metabolic sensing by the hypothalamus. She then joined the Lundberg lab as a postdoc for a project in collaboration with the Chan Zuckerberg Imaging Institute. She will focus on characterizing primary cilia in the adult brain using human induced pluripotent stem cells (hIPSC).
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Anders Gjølbye Madsen
Graduate Visiting Researcher Student, Computer Science
BioAnders Gjølbye Madsen is a PhD fellow at the Technical University of Denmark. His research focuses on trustworthy machine learning for healthcare, with an emphasis on explainability, interpretability, and reliable evaluation of models in high-stakes settings. He works broadly with modern deep learning methods, including self-supervised learning, and is interested in questions of robustness and alignment. He is the author of PatternLocal, a NeurIPS 2025 paper on reducing false-positive attributions in explanations of non-linear models by refining local explanation approaches. He earned a BSc in Artificial Intelligence and Data from DTU and completed an MSc in Engineering in Applied Mathematics at DTU, including a study exchange in Computational Science and Engineering at ETH Zürich. Anders will spend 2026 as a visiting researcher at Stanford University’s Trustworthy AI Research (STAIR) Lab, working with Professor Sanmi Koyejo.
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Laurin Maechtig
Graduate Visiting Researcher Student, Mechanical Engineering
BioLaurin Mächtig is a Visiting Student Researcher (VSR) at the Center for Turbulence Research (CTR).
At Stanford, he is investigating Aircraft Icing with high-fidelity simulations under supervision of postdoctoral fellow Federico Zabaleta and Professor Parviz Moin.
He holds a Bachelor of Science in Aerospace Engineering from the University of Stuttgart, where he is currently enrolled as a Master's student in aerospace engineering in his final year.
