Stanford University
Showing 6,821-6,840 of 12,920 Results
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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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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*, Zhu Y, Chen YT, Shui LP, Liu L. CMV Infection and CMV-Specific Immune Reconstitution Following Haploidentical Stem Cell Transplantation: An Update. Frontiers in immunology. 2021;12.
- 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. -
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. -
Kevin M Lutley
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Lutley is a primary care doctor. He is board certified in internal medicine.
For every patient, he creates a customized care plan. Plans focus on helping each person enjoy the best possible health and wellness.
Dr. Lutley has helped advance care through research. He has shared his research discoveries with his peers in invited presentations. Topics include drug prices in community pharmacies and the quality of interactions between patients and resident physicians.
While an internal medicine resident at Stanford, Dr. Lutley served as a member of the Stanford Ambulatory Care Excellence Program. This initiative aims to enhance the quality of outpatient primary care.
Dr. Lutley helps educate the primary care doctors of tomorrow. He is a clinical assistant professor of primary care and population health in the Stanford Department of Medicine, Division of Primary Care.
Before joining Stanford, Dr. Lutley performed needs assessments and care coordination with local public health agencies in Flint, Michigan.
Recognition for his achievements includes induction in the Gold Humanism Honor Society. This national organization honors senior medical students, residents, teachers and others for excellence in clinical care, leadership, and compassion. Additional honors for Dr. Lutley include induction in Alpha Omega Alpha, the honor society in the field of medicine.
From Stanford University, he received the Julian Wolfsohn Award. This honor goes to residents who demonstrate exemplary professionalism, teaching, and dedication to patient care.
Dr. Lutley is a member of the American College of Physicians. -
Amelie Lutz
Adjunct Clinical Associate Professor, Radiology
Current Research and Scholarly InterestsMolecular imaging in oncology
Peripheral Nerve Imaging
Cellular imaging of musculoskeletal inflammatory diseases
Kinematic musculoskeletal imaging
Magnetic resonance imaging of hepatic disorders -
Matthias Christian Lutz
Graduate, Medicine, Dermatology
BioI am a medical student at the Technical University of Munich and a Student Researcher at the Stanford Mussallem Center for Biodesign, where I conduct my doctoral research under the supervision of Dr. Paul Schmiedmayer. My work is centered at the intersection of artificial intelligence and medicine, with a strong focus on translating advanced machine learning approaches into clinically meaningful applications.
At Stanford, my research focuses on cardiovascular medicine, where I develop personalized, multimodal large language model (LLM)-based systems to detect early progression of Cardio-Kidney-Metabolic (CKM) disease and support more precise, data-driven clinical decision-making. By integrating electronic health record data, wearable time-series signals and patient communication, my work aims to create explainable, guideline-aligned AI systems that deliver personalized feedback and smart nudges. The overarching goal is to strengthen health literacy, improve patient activation and enable earlier, more effective prevention of cardiometabolic disease progression.
I ranked among the top 1% nationwide in Germany’s first written medical licensing examination and gained over two years of experience at Brainlab in Clinical Affairs, where I contributed to international clinical trials and regulatory processes in the MedTech sector. These experiences shaped my interest in translational research at the interface of clinical practice, technology development, and implementation.
Beyond my research I am the co-founder and previous chair of OneAIM (one-aim.org), a student-led MedTech initiative that has grown into the largest organization of its kind in Germany, connecting over 500 students across medicine, engineering and computer science through interdisciplinary innovation programs. In parallel, I am actively involved in shaping medical education: As the only student member of the curriculum commission at the Technical University of Munich, I play a leading role in integrating digital medicine into the medical curriculum. I also served as the instructor for the elective course “Neural Networks - AI in Medicine” at LMU Munich, introducing students to the intersection of clinical medicine and artificial intelligence.
My broader goal is to advance clinically grounded, explainable AI systems that not only improve decision-making but also empower patients and physicians, bridging the gap between technological innovation and real-world healthcare impact.
