Stanford University
Showing 19,651-19,700 of 37,133 Results
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Dennis Lund
Elizabeth Wood Dunlevie Professor, Emeritus
BioDr. Lund was born in Duluth, MN and attended Harvard College and Harvard Medical School. He received his general surgical training at the MGH in Boston, and his pediatric surgical training at Boston Children's Hospital. His initial career was spent as a trauma, transplant and general pediatric surgeon at Boston Children's. In 1999, he became Surgeon-in-Chief of the University of Wisconsin Children's Hospital in in Madison, and in 2001 became Chair of General Surgery at the University of Wisconsin-Madison. In 2011, he became Executive Vice President of the Phoenix Children's Medical Group and Surgeon-in-Chief at Phoenix Children's Hospital. Dr. Lund joined the Stanford faculty in Pediatric Surgery and as Associate Dean of the Faculty in Pediatrics and Obstetrics (Clinical Affairs) as well as Chief Medical Officer at Lucile Packard Children's Hospital in March, 2015. In March of 2018 and through January of 2019, Dr. Lund served as interim President and CEO of Lucile Packard Children's Hospital.
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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. -
Matthew Lungren
Adjunct Professor, Biomedical Data Science
BioDr. Matthew Lungren is a physician-scientist and AI leader whose work has helped shape modern multimodal healthcare AI from early research through large-scale deployment. He joined Stanford University in 2014 as clinical research faculty, where he led a fully dedicated pediatric interventional radiology clinical service and established an NIH- and industry-supported clinical AI research program that helped catalyze what became the Stanford Center for AI in Medicine & Imaging. He remains an Adjunct Professor of Biomedical Data Science at Stanford and also holds a part-time clinical appointment at UCSF.
Dr. Lungren has authored more than 200 peer-reviewed publications with more than 35,000 citations, and he has taught more than 100,000 learners through AI-in-healthcare courses across platforms including Coursera and LinkedIn Learning. His broader contributions include advancing multimodal imaging-plus-EHR approaches, open-sourcing AI-ready medical imaging datasets and models, and serving in national leadership roles across the radiology AI community. After a sabbatical in 2021, he transitioned from academia to industry and joined Microsoft, where he served in senior leadership roles including Chief Scientific Officer for Microsoft Health & Life Sciences. At Microsoft, he founded and led cross-company teams that shipped multimodal healthcare foundation models and agentic, auditable generative AI workflows into production, including healthcare agent orchestration capabilities and major EHR partnerships, and led the health and life sciences partnerships with OpenAI.
Dr. Lungren is also a top rated instructor leading AI in Healthcare courses designed especially for learners with non-technical backgrounds:
Stanford/Coursera: https://www.coursera.org/learn/fundamental-machine-learning-healthcare
LinkedIn Learning: https://www.linkedin.com/learning/an-introduction-to-how-generative-ai-will-transform-healthcare -
Mitchell R. Lunn
Associate Professor of Medicine (Nephrology) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsLGBTQIA+ health
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Liqun Luo
Ann and Bill Swindells Professor and Professor, by courtesy, of Neurobiology
Current Research and Scholarly InterestsWe study how neurons are organized into specialized circuits to perform specific functions and how these circuits are assembled during development. We have developed molecular-genetic and viral tools, and are combining them with transcriptomic, proteomic, physiological, and behavioral approaches to study these problems. Topics include: 1) assembly of the fly olfactory circuit; 2) assembly of neural circuits in the mouse brain; 3) organization and function of neural circuits; 4) Tool development.
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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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Ruben Y. Luo
Assistant Professor of Pathology
Current Research and Scholarly InterestsApply top-down mass spectrometry and label-free immunoassay to the study and utilization of biomarker proteoforms in clinical diagnosis.
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Xiangde Luo
Postdoctoral Scholar, Radiation Physics
BioXiangde Luo is a postdoctoral researcher in Professor Ruijiang Li’s lab at Stanford Medicine, where he specializes in computational pathology. His work centers on developing AI‑driven methods for imaging biomarker discovery and precision oncology. Previously, he has developed some deep learning models to enable annotation‑efficient learning and advance biomedical image analysis. For a comprehensive overview of my research, please visit my Google Scholar profile: https://scholar.google.com/citations?hl=en&user=dD4HLS4AAAAJ. If you’d like to learn more or discuss potential collaborations, please don’t hesitate to get in touch.
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XIAOHUA LUO
Affiliate, Institute for Immunity, Transplantation, and Infection Operations
Visiting Scholar, Institute for Immunity, Transplantation, and Infection OperationsBioAcademic Appointments
- Visiting Scholar, Stanford University School of Medicine (Holden Maecker Lab)
- Chief Physician / Associate Professor / Associate Research Scientist, The First Affiliated Hospital of Chongqing Medical University
Professional Education
- Visiting Scholar, Karolinska Institutet (Per Ljungman & Markus Maeurer Lab) (2016)
- Ph. D., Peking University Health Science Centre (2009)
- B.Med., Tongji Medical College, Huazhong University of Science and Technology (2001)
Selected Publications:
- Luo XH*, Zhu Y, Duan XQ, Peng W, Pei CX, Yang L, Li Q, Zhao M, Wang L. Histone HIST1 genes and tumor-infiltrating lymphocytes in a child with γδ T cell acute lymphoblastic leukemia by single-cell sequencing. Journal of Leukocyte Biology. 2025 Apr;117(4):qiaf022.
- Shui LP, Zhu Y, Duan XQ, Chen YT, Yang L, Tang XQ, Zhang HB, Xiao Q, Wang L, Liu L, Luo XH*. HBsAg (‐)/HBsAb (‐)/HBeAg (‐)/HBeAb (+)/HBcAb (+) predicts a high risk of hepatitis B reactivation in patients with B ‐ cell lymphoma receiving rituximab based immunochemotherapy. Journal of Medical Virology. 2023 Feb 3.
- Luo XH*, Poiret T, Liu Z, Meng Q, Nagchowdhury A, Ljungman P. Different recovery patterns of CMV-specific and WT1-specific T cells in patients with acute myeloid leukemia undergoing allogeneic hematopoietic cell transplantation: Impact of CMV infection and leukemia relapse. Frontiers in Immunology. 2022;13.
- Luo XH*, Meng Q, Liu Z, Paraschoudi G. Generation of high-affinity CMV-specific T cells for adoptive immunotherapy using IL-2, IL-15, and IL-21. Clinical Immunology. 2020 Aug 1;217:108456.
- Li S, Huang J, Zhang YL, Zhu Y, An YF, Du J, Zhang ZL, Xia Y, Liu L, Wang L, Luo XH*. Wiskott- Aldrich syndrome protein may be critical for CD8+ T cell function following MCMV infection. Cellular immunology. 2019 Apr 1;338:43-50.
- Luo XH, Meng Q, Rao M, Liu Z, Paraschoudi G, Dodoo E, Maeurer M. The impact of inflationary cytomegalovirus-specific memory T cells on anti-tumour immune responses in patients with cancer. Immunology. 2018 Nov;155(3):294-308.
- Zhenjiang L, Rao M, Luo X, Valentini D, von Landenberg A, Meng Q, Sinclair G, Hoffmann N, Karbach J, Altmannsberger HM, Jäger E. Cytokine Networks and Survivin Peptide-Specific Cellular Immune Responses Predict Improved Survival in Patients With Glioblastoma Multiforme. EBioMedicine. 2018 Jul 1;33:49-56.
- Liu Zhenjiang, Martin Rao, Xiaohua Luo, Elisabeth Sandberg, Jiri Bartek Jr, Esther Schoutrop, Anna von Landenberg, Qingda Meng, Davide Valentini, Thomas Poiret, Georges Sinclair, Inti- Harvey Peredo, Ernest Dodoo, and Markus Maeurer*. Mesothelin-specific Immune Responses Predict Survival of Patients With Brain Metastasis. EBioMedicine. 2017 Sep; 23: 20–24.
- Liu Z, Poiret T, Persson O, Meng Q, Rane L, Bartek J, Karbach J, Altmannsberger HM, Illies C, Luo X, Harvey-Peredo I. NY-ESO-1-and survivin-specific T-cell responses in the peripheral blood from patients with glioma. Cancer Immunology, Immunotherapy. 2018 Feb 1;67(2):237- 46.
- Liu Z, Meng Q, Bartek Jr J, Poiret T, Persson O, Rane L, Rangelova E, Illies C, Peredo IH, Luo X, Rao MV. Tumor-infiltrating lymphocytes (TILs) from patients with glioma. Oncoimmunology. 2017 Feb 1;6(2):e1252894.
- XH Luo, XJ Huang*, KY Liu, LP Xu, DH Liu. Protective immunity transferred by infusion of CMV- specific CD8+ T cells within donor grafts: its associations with CMV reactivation following unmanipulated allogeneic hematopoietic stem cell transplantation. Biol Blood Marrow Transplant 2010; 16(7):994-1004
- XH Luo, YJ Chang, LP Xu, DH Liu, KY Liu, XJ Huang*. The impact of graft composition on clinical outcomes in unmanipulated HLA-mismatched/haploidentical haematopoietic SCT. Bone Marrow Transplant 2009; 43(1):29-36. -
Xue Luo
Affiliate, Civil and Environmental Engineering
BioDr. 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. -
Tiffany Luong
Postdoctoral Scholar, Infectious Diseases
BioTiffany Luong obtained her Ph.D. from UCSD/SDSU in the lab of Dwayne Roach where she studied the formulation, purification, and application of bacteriophages targeting the ESKAPE pathogen Pseudomonas aeruginosa. Currently, her research in the Bollyky Lab focuses on the development of preclinical models to study chronic infections of P. aeruginosa and the immunogenicity of bacteriophages to the mammalian host.
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Garima J. Lupas, PhD, ABPP-CN
Clinical Assistant Professor (Affiliated), Adult Neurology
BioDr. Garima J. Lupas is a board-certified, fellowship-trained neuropsychologist with Stanford Health Care. She is also a clinical assistant professor (affiliated) in the Department of Neurology & Neurological Sciences, Division of Neuropsychology at Stanford University School of Medicine.
Dr. Lupas specializes in conducting neuropsychological assessments for a variety of conditions, including neurodegenerative diseases, movement disorders, psychiatric disorders, cerebrovascular disease, and infectious neurological diseases. She also performs presurgical evaluations for deep brain stimulation and epilepsy surgical candidates. She takes a comprehensive approach to assessing cognitive and behavioral function, considering each person’s overall well-being and quality of life when making treatment recommendations.
Dr. Lupas has studied the effects of age and dementia on cognitive function, especially memory. Her research has also assessed how age impacts thinking, social, and daily life skills in people with schizophrenia. Additionally, Dr. Lupas has examined the role of culture in identity and intimacy development among young adults from India, China, and the United States.
Dr. Lupas has published her findings in peer-reviewed journals, including The Clinical Neuropsychologist and Identity: An International Journal of Theory and Research. She has also presented at numerous conferences across the nation, including meetings of the American Academy of Clinical Neuropsychology (AACN), American Psychological Association, and International Neuropsychological Society. Using her expertise in aging, she has authored a book chapter in the Encyclopedia of Geropsychology on depression and cognition in older adults.
Dr. Lupas is a member of AACN. -
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). -
Leslie Patricia Luqueño
Ph.D. Student in Education, admitted Autumn 2020
Ph.D. Minor, Comparative Studies in Race and Ethnicity
Graduate Student Worker, Ctr for Comparative Studies in Race and Ethnicity (CCSRE)
Research Assistant for CTL grant, Feminist, Gender, and Sexuality StudiesCurrent Research and Scholarly InterestsMy current research lies at the intersection of higher education, immigration, and family studies, with an emphasis on how the children of Latinx immigrants make sense of their higher education trajectories and aspirations. I am particularly interested in the role of families within college choice decision-making and employ both qualitative and data science methods to investigate how familial values and knowledge is employed throughout the college application process for Latinx students.
