School of Medicine
Showing 661-670 of 1,252 Results
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Alarice Lowe
Professor of Pathology
BioDr. Lowe joined the School of Medicine faculty in 2019. She received her undergraduate degree in Biology from MIT and her medical degree at UCSD, prior to residency and cytology fellowship at UCLA. In 2011, she joined the faculty at Brigham and Women's Hospital where she developed a research focus on Circulating Tumor Cells (CTCs) and the application of new technology to improve clinical and molecular diagnostics. Clinically, her interests focus on Cytopathology and Genitourinary Pathology.
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Lu,Guolan
Assistant Professor of Urology
Current Research and Scholarly InterestsThe Lu Lab develops spatial omics and AI technologies to measure, model, and predict how cells, tissues, and therapeutic agents interact in their native spatial context, and how these interactions drive disease progression and treatment response.
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Sydney X. Lu
Assistant Professor of Medicine (Hematology)
BioSydney Lu is an assistant professor and physician-scientist in the Division of Hematology, Department of Medicine with a broad interest in both normal and abnormal RNA processing in the context of normal physiology and disease states. The laboratory studies translational questions regarding the mechanistic basis of RNA processing abnormalities in malignant blood disorders, their implications for leukemogenesis and cancer biology, as well as resultant therapeutic opportunities.
As a physician, Sydney’s group is particularly focused on dissecting RNA processing abnormalities in primary patient samples and disease-relevant preclinical model systems. Lab members employ a variety of ‘wet-lab’ and computational approaches to study transcriptome abnormalities in (1) states of immune dysfunction, (2) myeloid blood cancers such as myelodysplastic syndromes and acute myeloid leukemia, and (3) lymphoid blood cancers such as chronic lymphocytic leukemia. Additional projects are focused on novel therapeutics, including multiple targeted agents which modulate RNA processing, for the selective treatment of these diseases.
Sydney’s research is/has been supposed by grant funding from the National Cancer Institute, Parker Institute for Cancer Immunotherapy, Leukemia & Lymphoma Society, Aplastic Anemia & Myelodysplastic Syndromes International Foundation, the American Society for Clinical Oncology, the American Society of Hematology, the American Association for Cancer Research, the Paula and Rodger Riney Foundation, the Doris Duke Charitable Foundation, The Gabrielles Angel Foundation for Cancer Research, and the Stanford Cancer Institute. -
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 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
