Stanford University
Showing 3,201-3,220 of 6,042 Results
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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).
