School of Medicine
Showing 321-330 of 339 Results
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Natalie Shaubie Lui
Assistant Professor of Cardiothoracic Surgery (Thoracic Surgery)
BioDr. Lui studied physics as an undergraduate at Harvard before attending medical school at Johns Hopkins. She completed a general surgery residency at the University of California San Francisco, which included two years of research in the UCSF Thoracic Oncology Laboratory and completion of a Master in Advanced Studies in clinical research. Dr. Lui went on to hold a fellowship in Thoracic Surgery at Massachusetts General Hospital, during which she participated in visiting rotations at Memorial Sloan Kettering and the Mayo Clinic.
Dr. Lui’s surgical practice consists of general thoracic surgery with a focus on thoracic oncology and robotic thoracic surgery. Her research interests include intraoperative molecular imaging for lung cancer localization, increasing rates of lung cancer screening, and using artificial intelligence to predict lung cancer recurrence. She is the recipient of the Donald B. Doty Educational Award in 2019 from the Western Thoracic Surgical Association, the Dwight C. McGoon Award for teaching from the Thoracic Surgery Residents Association in 2020, and the Carolyn E. Reed Traveling Fellowship from the Thoracic Surgery Foundation and Women in Thoracic Surgery in 2022. -
Darren P. Lum
Clinical Assistant Professor, Radiology
Current Research and Scholarly InterestsPhase Contrast Flow MRI, Valvular Heart Disease, Cardiovascular MRI
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Angela K. Lumba-Brown
Clinical Associate Professor, Emergency Medicine
Clinical Associate Professor, PediatricsCurrent Research and Scholarly InterestsCurrent research includes evidence-based guidelines for the management and treatment of traumatic brain injury, research establishing an evidence and targeting treatments for the subtypes of concussion, research identifying the best outcomes in pre-hospital care of patients with traumatic brain injury, research on brain performance via sensorimotor and sensory-cognitive synchronization, and research on dynamic visual synchronization as a biomarker for attentional impairments.
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Dennis Lund
Elizabeth Wood Dunlevie Professor, Emeritus
BioDr. Lund was born in Duluth, MN and attended Harvard College and Harvard Medical School. He received his general surgical training at the MGH in Boston, and his pediatric surgical training at Boston Children's Hospital. His initial career was spent as a trauma, transplant and general pediatric surgeon at Boston Children's. In 1999, he became Surgeon-in-Chief of the University of Wisconsin Children's Hospital in in Madison, and in 2001 became Chair of General Surgery at the University of Wisconsin-Madison. In 2011, he became Executive Vice President of the Phoenix Children's Medical Group and Surgeon-in-Chief at Phoenix Children's Hospital. Dr. Lund joined the Stanford faculty in Pediatric Surgery and as Associate Dean of the Faculty in Pediatrics and Obstetrics (Clinical Affairs) as well as Chief Medical Officer at Lucile Packard Children's Hospital in March, 2015. In March of 2018 and through January of 2019, Dr. Lund served as interim President and CEO of Lucile Packard Children's Hospital.
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Emma Lundberg
Associate Professor of Bioengineering and of Pathology
BioDr. Emma Lundberg is an Associate Professor of Bioengineering and Pathology at Stanford University and serves at the Director of the Cell Atlas of the Human Protein Atlas initiative in Sweden, where she is also Professor at KTH Royal Institute of Technology. At the intersection of bioimaging, proteomics, and artificial intelligence, her research aims to define the spatiotemporal organization of the human proteome at both cellular and subcellular level. Dr. Lundberg aims to develop integrated models of human cells to elucidate how variations in protein localization patterns influence cellular function, ultimately enabling the simulation of cell behavior and a systems-level understanding of how biological information is spatially encoded. The Lundberg Lab is responsible for creating the Subcellular Atlas of the Human Protein Atlas database (https://www.proteinatlas.org/). Dr. Lundberg is dedicated to building virtual cell models to simulate cell behavior, and is passionate about engaging the public in her work through citizen science games and computational challenges.
Dr. Lundberg holds a Master’s degree in Bioengineering and a PhD in Biotechnology from KTH Royal Institute of Technology in Sweden. She has served as Secretary General of the Human Proteome Organization, and is actively involved in advisory roles for numerous open-access databases and cell mapping efforts such as the CZI AI Virtual Cell, Human Cell Atlas consortium, UniProt db, Reactome db, Human Proteome Project and various pharma and biotech companies. As a token of her leadership skills and advocate for open science, she was twice recognized as top 10 under 40 for future leaders in biopharma and omics. -
Matthew Lungren
Adjunct Professor, Biomedical Data Science
BioDr. Lungren is Chief Scientific 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 collaborative 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 200 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 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
