School of Medicine
Showing 451-500 of 953 Results
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Ron Li
Clinical Associate Professor, Medicine
BioRon Li is a Clinical Associate Professor of Medicine in the Division of Hospital Medicine and Center for Biomedical Informatics Research at Stanford University School of Medicine. As the Medical Informatics Director for Digital Health at Stanford Health Care, he provides medical and informatics direction for the health system's enterprise digital health portfolio, including expanding digital referral networks and virtual care modalities. He is also the founding Medical Director for Stanford Health Care at Home and the co-founder and Director for the Stanford Emerging Applications Lab (SEAL), which helps clinicians and staff build ideas into novel digital products that are prototyped and tested for care delivery at Stanford Health Care.
Ron's academic interests focus on the "delivery science" of new technological capabilities such as digital and artificial intelligence in healthcare and how to design, implement, and evaluate new tech enabled models of care delivery. Ron's work spans across multiple disciplines, including clinical medicine, data science, digital health, information technology, design thinking, process improvement, and implementation science. He has consulted for various companies in the digital health and artificial intelligence space. He is an attending physician on the inpatient medicine teaching service at Stanford Hospital and is the Associate Program Director for the Stanford Clinical Informatics Fellowship. -
Ruijiang Li
Associate Professor of Radiation Oncology (Radiation Physics)
Current Research and Scholarly InterestsMy lab's research is focused on the development of imaging and molecular biomarkers to improve cancer detection, diagnosis, prognostication, and prediction of therapy response. Our ultimate goal is to translate these biomarkers into clinical practice to guide optimal management and therapeutic decisions for precision cancer medicine.
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Sally S. Li
Executive Director, Medicine - Med/Family and Community Medicine
Current Role at StanfordExecutive Director, Center for Asian Health Research and Education (CARE)
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Wen Li
Basic Life Research Scientist, Pathology Operations supported expenses #2
BioWen’s research focuses on mitochondrial reverse electron transport (RET) in neurodegenerative diseases where tau pathology plays either a primary or secondary pathogenic role. Her work seeks to understand how pathological tau disrupts mitochondrial complex I function and RET, and how these alterations contribute to oxidative stress and neurodegeneration. Her research further explores whether targeting RET can provide a shared therapeutic strategy across tau-associated neurodegenerative diseases.
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Yijie (Jamie) Li
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioI am a postdoctoral scholar at Stanford University, working on longitudinal wearable data to study interventions for diabetes and childhood obesity. I use computational and machine learning methods to extract actionable insights from high-resolution health data to improve treatment outcomes. Previously, I completed my Ph.D. in Computer Science at the University of Tulsa, focusing on machine learning for major depressive disorder using genomics, gene age, and neurofeedback. I also hold master’s degrees in Applied Economics and Finance from UC Santa Cruz and in Accountancy from the University of Tulsa, where I worked on financial modeling and stock market analysis.
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Zhefu Li
Undergraduate, Urology
BioZhefu Li is an undergraduate student at the School of Life Sciences at Tsinghua University and interned at Guolan Lu's lab at Stanford during the summer of 2026. He is broadly interested in computational biology, including systems biology, spatial omics, biophysics, mathematical modeling, and computational neuroscience. Besides that, he’s also a fan of botany and zoology, enjoys birdwatching, observing insects and flowers, and loves ecological surveys.
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Zhongxiao Li
Postdoctoral Scholar, Radiation Physics
BioZhongxiao Li is a postdoctoral researcher in Professor Ruijiang Li's lab at Stanford Medicine. His research focuses on computational biology and bioinformatics, particularly the development of deep learning methods for computational pathology and spatial transcriptomics/proteomics. Previously, his work has included developing machine learning models for histopathological image analysis, understanding gene regulation, and analyzing biological sequences.
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Zongbo Li
Postdoctoral Scholar, Health Policy
BioZongbo Li, PhD, is a postdoctoral researcher at Stanford Health Policy. His research focuses on applying simulation modeling and cost-effectiveness analysis to inform policy decisions related to substance use and infectious diseases. He evaluates overdose prevention interventions, including naloxone distribution and medications for opioid use disorder, with particular attention to vulnerable populations such as people who are incarcerated. His work also encompasses modeling infectious diseases and evaluating interventions for COVID-19, HIV, and HCV. Zongbo earned his PhD in Health Services Research, Policy & Administration from the University of Minnesota.
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April Shichu Liang
Clinical Assistant Professor, Medicine
BioApril S. Liang, M.D., is a Board-Certified internist and Clinical Informaticist. She serves as Clinical Assistant Professor in the Stanford Division of Hospital Medicine as well as Medical Informatics Director. Dr. Liang holds a B.S.E. in Computer Science from Princeton University and an M.D. from UCSF School of Medicine. She completed Internal Medicine residency at UCSF and Clinical Informatics fellowship at Stanford. Dr. Liang’s informatics interests include the implementation of AI tools in healthcare and data-driven quality improvement. Her past work includes the integrating a machine learning-driven clinical decision support tool in the EHR targeting lab overutilization and measuring the impact of ambient AI scribes on clinician documentation time.
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David Liang, MD, PhD
Professor of Medicine (Cardiovascular) at the Stanford University Medical Center, Emeritus
BioStanford researchers are creating a micro-device that physicians could guide through the body to help diagnose and treat clogged arteries and other diseases. Tethered to the outside world by a thin wire, a tiny machine creeps through blood vessels, searching out deadly plaques and obliterating them with a zap of a laser. While a laser will come later, for now David Liang, MD, PhD, is focusing on a tiny eye that could give physicians an unprecedented view into blood vessels.
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Emily C. Liang, MD
Assistant Professor-Univ Med Line, Medicine - Blood & Marrow Transplantation
BioDr. Liang is an Assistant Professor in the Division of Blood and Marrow Transplantation & Cellular Therapy. She cares for patients with multiple myeloma and other plasma cell disorders receiving cellular therapies. She graduated from Stanford University with a BA in Human Biology and earned her MD from the David Geffen School of Medicine at UCLA. She completed internal medicine residency at Stanford University and hematology/oncology fellowship at the University of Washington and Fred Hutchinson Cancer Center.
Dr. Liang's research integrates clinical investigation, statistical modeling, and translational science to characterize, predict, and mitigate CAR T-cell therapy-associated toxicities and advance cellular therapies for multiple myeloma. Her work has been published in Blood, Blood Advances, Transplantation and Cellular Therapy, and Bone Marrow Transplantation and has been funded by the National Institutes of Health, Conquer Cancer, and Swim Across America.
