School of Medicine
Showing 371-380 of 739 Results
-
George Lui
Clinical Professor, Medicine - Cardiovascular Medicine
Clinical Professor, Pediatrics - CardiologyCurrent Research and Scholarly InterestsAdult Congenital Heart Disease
-
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
-
Michael Ma
Associate Professor of Cardiothoracic Surgery (Pediatric Cardiac Surgery)
Current Research and Scholarly InterestsOur lab aims to understand the biomechanics that govern a wide spectrum of congenital heart defects, and how those biomechanics change with contemporary operative repair strategies. We simulate operations virtually via CFD, and in ex vivo and in vivo animal models, and analyze how the changes we make alter fluid flow, pressure, and stresses throughout the system. We hope that these experiments can impact and optimize existing techniques that translate quickly to the operating room.
-
Sean Mackey, M.D., Ph.D.
Redlich Professor, Professor of Anesthesiology, Perioperative, and Pain Medicine (Adult Pain) and, by courtesy, of Neurology and Neurological Sciences
On Leave from 01/25/2026 To 03/06/2026Current Research and Scholarly InterestsMultiple NIH funded projects to characterize CNS mechanisms of human pain. Comparative effectiveness of cognitive behavioral therapy and chronic pain self-management within the context of opioid reduction (PCORI funded). Single session pain catastrophizing treatment: comparative efficacy & mechanisms (NIH R01). Development and implementation of an open-source learning healthcare system, CHOIR (http://choir/stanford.edu), to optimize pain care and innovative research in real-world patients.
-
Merritt Maduke
Professor of Molecular and Cellular Physiology
Current Research and Scholarly InterestsMolecular mechanisms of ion chnanels & transporters studied by integration of structural and electrophysiological methods.
-
Holden Maecker
Professor (Research) of Microbiology and Immunology
Current Research and Scholarly InterestsI'm interested in immune monitoring of T cell responses to chronic pathogens and cancer, and the correlation of T cell response signatures with disease protection.
