Stanford University
Showing 4,061-4,080 of 7,899 Results
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Fei-Fei Li
Sequoia Capital Professor, Senior Fellow at HAI and Professor, by courtesy, of Operations, Information and Technology at the Graduate School of Business
Current Research and Scholarly InterestsAI, Machine Learning, Computer Vision, Robotics, AI+Healthcare, Human Vision
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Gordon Li, MD
Professor of Neurosurgery and, by courtesy, of Neurology and Neurological Sciences and of Otolaryngology - Head & Neck Surgery (OHNS)
Current Research and Scholarly Interests1.) My laboratory studies the biology of brain tumors with the goal of developing novel therapeutics for the treatment of malignant brain tumors and translating that research into clinical trials.
2.) My clinical interests include improving surgical techniques for brain tumor surgery, immunotherapy for the treatment of glioblastoma, and novel uses for stereotactic radiosurgery. -
Jin Billy Li
Professor of Genetics
Current Research and Scholarly InterestsThe Li Lab is primarily interested in RNA editing mediated by ADAR enzymes. We co-discovered that the major function of RNA editing is to label endogenous dsRNAs as "self" to avoid being recognized as "non-self" by MDA5, a host innate immune dsRNA sensor, leading us to pursue therapeutic applications in cancer, autoimmune diseases, and viral infection. The other major direction of the lab is to develop technologies to harness endogenous ADAR enzymes for site-specific transcriptome engineering.
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Lingyin Li
Professor of Biochemistry
Current Research and Scholarly InterestsUnderstanding and targeting the cGAS-cGAMP-STING pathway for the treatment of cancer and autoimmunity.
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Xia Li (Lisa)
Basic Life Research Scientist, Biology
Current Research and Scholarly InterestsMy current research focuses on how aging-associated loss of proteome homeostasis (proteostasis) and organelle dysfunction, particularly lysosomal impairment, drive selective neuronal vulnerability in Parkinson’s disease. I integrate mechanistic biochemistry with neuronal cell biology to define how protein aggregates disrupt lysosomal function and how proteostasis and lysosome contributes to neuronal dysfunction and disease pathology.
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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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Shanjun Li
Steven and Roberta Denning Global Sustainability Professor, Senior Fellow at the Freeman Spogli Institute for International Studies, at the Stanford Institute for Economic Policy Research, and at the Precourt Institute for Energy
BioShanjun Li is the Steven and Roberta Denning Global Sustainability Professor and a Senior Fellow at both the Freeman Spogli Institute for International Studies (FSI) and the Stanford Institute for Economic Policy Research (SIEPR). His research focuses on environmental and energy economics, urban and transportation economics, empirical industrial organization, and the Chinese economy. His recent work examines pressing sustainability challenges and the rapid rise of clean energy industries in China, exploring their global implications to inform evidence-based policymaking.
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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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Percy Liang
Professor of Computer Science and Senior Fellow at the Stanford Institute for Human-Centered AI
BioPercy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011) and the director of the Center for Research on Foundation Models (CRFM). He is currently focused on making foundation models (in particular, language models) more accessible through open-source and understandable through rigorous benchmarking. In the past, he has worked on many topics centered on machine learning and natural language processing, including robustness, interpretability, human interaction, learning theory, grounding, semantics, and reasoning. He is also a strong proponent of reproducibility through the creation of CodaLab Worksheets. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), a Microsoft Research Faculty Fellowship (2014), and paper awards at ACL, EMNLP, ICML, COLT, ISMIR, CHI, UIST, and RSS.
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Xing Liang
Basic Life Research Scientist, Biology
Current Research and Scholarly InterestsMechanism of MT polarity establishment during PVD neuron dendrite outgrowing in C. elegans.
