Stanford University
Showing 671-680 of 1,261 Results
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Chase A. Ludwig, MD, MS
Assistant Professor of Ophthalmology (Research/Clinical Trials)
Current Research and Scholarly InterestsMy research focuses on understanding high and pathologic myopia and their retinal sequelae, including retinal detachments, myopic traction maculopathy, and myopic macular degeneration. By leveraging informatics and big data analytics, I aim to uncover strategies that prevent and treat the progression of these complex and devastating conditions. My work takes advantage of the retina’s unique role as the only visible portion of the central nervous system, allowing for discoveries in ophthalmology that have the potential to impact broader fields of medicine.
I am actively seeking medical students and residents interested in ophthalmology or vitreoretinal surgery to assist with writing projects and data analytics. If you are passionate about advancing the understanding and management of myopia, I invite you to join me in tackling one of the most pressing global challenges in eye care. -
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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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 -
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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Deirdre J. Lyell, M.D.
Dunlevie Endowed Professor of Maternal-Fetal Medicine and Professor, by courtesy, of Pediatrics
Current Research and Scholarly InterestsPreterm labor prevention and management, preeclampsia prevention and treatment, short and long-term impact of surgical techniques at cesarean, depression during pregnancy, fetal heart rate monitoring and long-term neurologic outcome, randomized clinical trials.
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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.
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Qianheng Ma
Postdoctoral Scholar, Psychiatry
BioQianheng (Jessica) Ma obtained her PhD degree of biostatistics at University of Chicago under the supervision of Prof. Donald Hedeker and is the 2021 recipient of the dissertation grant from Society of Multivariate Experimental Psychology (SMEP). Her current research focus are modern statistical methods and deep learning techniques for mining (multivariate) intensive longitudinal data especially psychological/behavioral measures collected by mobile/wearable devices. Besides research, she loves playing the piano and is good at Jazz improvisation and she can speak fluent Cantonese.
