Stanford University
Showing 2,601-2,620 of 2,720 Results
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Matthew Lungren
Adjunct Professor, Biomedical Data Science
BioDr. Lungren is Chief Data Science Officer for Microsoft Health & Life Sciences where he focuses on translating cutting edge technology, including generative AI and cloud services, into innovative healthcare applications. As a physician and clinical machine learning researcher, he maintains a part-time clinical practice at UCSF while also continuing his research and teaching roles as adjunct professor at Stanford University.
Prior to joining Microsoft, Dr Lungren was a clinical interventional radiologist and research faculty at Stanford University Medical School where he led the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI). He later served as Principal for Clinical AI/ML at Amazon Web Services in World Wide Public Sector Healthcare, focusing on business development for clinical machine learning technologies in the public cloud.
His scientific work has led to more than 150 publications, including work on multi-modal data fusion models for healthcare applications, new computer vision and natural language processing approaches for healthcare specific domains, opportunistic screening with machine learning for public health applications, open medical data as public good, prospective clinical trials for clinical AI translation, and application of generative AI in healthcare. He has served as advisor for early stage startups and large fortune-500 companies on healthcare AI technology development and go-to-market strategy. Dr. Lungren's work has been featured in national news outlets such as NPR, Vice News, Scientific American, and he regularly speaks at national and international scientific meetings on the topic of AI in healthcare.
Dr. Lungren is also a top rated instructor on Coursera where his AI in Healthcare course designed especially for learners with non-technical backgrounds has been completed by more than 20k students around the world - enrollment is open now: https://www.coursera.org/learn/fundamental-machine-learning-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.
