Maternal & Child Health Research Institute (MCHRI)
Showing 531-540 of 996 Results
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Stephen Luby
Lucy Becker Professor of Medicine, Senior Fellow at the Woods Institute for the Environment, Freeman Spogli Institute for International Studies and Professor, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsDr. Luby’s research interests include identifying and interrupting environmental pathways of disease in low- and middle-income countries.
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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 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
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Deirdre J. Lyell, M.D.
Dunlevie Endowed Professor of Maternal-Fetal Medicine
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.
