School of Medicine
Showing 1-17 of 17 Results
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Aimmon Lago
Affiliate, Biomedical Data Science
BioAimmon is a healthcare and technology leader with over 20 years of experience supporting teams at Accenture, Kaiser Permanente, and Stanford Health Care. He currently serves as the Executive IT Director of Revenue Cycle and Population Health Systems at Stanford Health Care where he helps create and sustain financial value, employee engagement, and patient experience improvement.
Aimmon holds a MS in Clinical Informatics Management from Stanford, a MS in Healthcare Administration from California State University East Bay, and a BS in Business Administration from Santa Clara University.
He is excited about the opportunities for cost, quality, and access improvement in healthcare, and seeks to create meaningful and sustained change with the use of technology, organizational management, and financial tools. -
Philip W. Lavori
Professor of Biomedical Data Science, Emeritus
Current Research and Scholarly InterestsBiostatistics, clinical trials, longitudinal studies, casual inference from observational studies, genetic tissue banking, informed consent. Trial designs for dynamic (adaptive) treatment regimes, psychiatric research, cancer.
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Ruotong Liao
Affiliate, Biomedical Data Science
BioVisiting Scholar with Prof. Serena Yeung-Levy at Stanford AI Lab.
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MINGSHUO LIU
Postdoctoral Scholar, Biomedical Data Sciences
BioHello! I’m Mingshuo Liu, a postdoctoral scholar at Stanford University working with Professor Lu Tian. My research interests include high-dimensional statistics, statistical inference, and synthetic data. I’m always happy to connect and discuss potential collaborations, research ideas, or seminar opportunities. Feel free to reach out!
You can learn more about my research here: https://mingshuostat.github.io/ -
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
