Stanford University


Showing 181-188 of 188 Results

  • Matthew Lungren

    Matthew Lungren

    Adjunct Professor, Biomedical Data Science

    BioDr. Matthew Lungren is a physician-scientist whose research develops and evaluates machine learning systems that combine medical imaging, electronic health record data, and clinical outcomes. His current work concerns medical foundation models, agentic clinical systems, and the prospective evaluation of AI in real clinical workflows. He joined the Stanford faculty in 2014 in the Department of Radiology, serving as Assistant Professor and then Associate Professor through 2021 while leading a dedicated pediatric interventional radiology service. He co-founded and co-directed the Stanford Center for Artificial Intelligence in Medicine and Imaging. He remains Adjunct Professor of Biomedical Data Science at Stanford, where he co-teaches Generative AI and Medicine, and holds a part-time clinical appointment at UCSF. He serves as an independent board director and scientific advisor to medical technology, health system, and life science organizations. In industry, Dr. Lungren served as Chief Scientific Officer for Health and Life Sciences and as AI Technical Advisor in the Office of the CTO at Microsoft.

    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

  • Liqun Luo

    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.

  • Ruben Y. Luo

    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.

  • Annamaria Lusardi

    Annamaria Lusardi

    Senior Fellow at the Stanford Institute for Economic Policy Research and Professor, by courtesy, of Finance at the Graduate School of Business

    BioAnnamaria Lusardi is a Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR), and the Director of the Financial Freedom Initiative, a collaboration between SIEPR, the Graduate School of Business (GSB), and the Economics Department at Stanford University. She is also Professor of Finance (by courtesy) at the GSB. Previously, she was University Professor at The George Washington University and, before that, she was the Joel Z. and Susan Hyatt Professor of Economics at Dartmouth College, where she started her academic career. She has also taught at Princeton University, the University of Chicago’s Harris School of Public Policy and Booth School of Business, and Columbia Business School. She was also a visiting scholar at Harvard Business School. She holds a Ph.D. in Economics from Princeton University and an honorary doctorate from the University of Vaasa in Finland.

    One of the most cited authors in financial literacy, Lusardi is the founder and Academic Director of the Global Financial Literacy Excellence Center (GFLEC), which has done pioneering work on personal finance education. She has published close to 100 articles and books, including publications in the American Economic Review and the Journal of Political Economy. She is the founder and inaugural editor of the Journal of Financial Literacy and Wellbeing, published by Cambridge University Press. She has received numerous research and policy awards around the world, including grants from the National Science Foundation, the National Institutes of Health, and the Social Security Administration. In 2017, 2021, and 2022, she was included in the Clarivate list, which recognizes exceptional research influence. She also won teaching awards at both Princeton and the University of Chicago.

  • Amelie Lutz

    Amelie Lutz

    Adjunct Clinical 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