Stanford University
Showing 18,061-18,080 of 34,953 Results
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Yongkai Liu
Instructor, Radiology
BioDr. Yongkai Liu is an instructor in the Department of Radiology, Division of Neuroimaging and Neurointervention at Stanford University. His research focuses on developing and evaluating advanced techniques to improve treatment decision-making and prognostication in brain diseases—particularly stroke—using imaging and deep learning. Dr. Liu is a recipient of the prestigious K99/R00 award for his work on integrating large language models with imaging-based deep learning for stroke outcome prediction.
Prior to joining Stanford, Dr. Liu earned his Ph.D. in Physics and Biology in Medicine from UCLA under the mentorship of Prof. Kyung Sung. This rigorous training equipped him with a strong foundation in medicine, deep learning, and physics. His Ph.D. thesis, titled “Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence,” focused on developing cutting-edge deep learning and machine learning techniques for MRI-based clinical applications. During his master’s studies, he conducted research on CT Virtual Colonoscopy under the guidance of Prof. Jerome Liang, an IEEE Fellow.
Dr. Liu has also made significant contributions to the academic community as a peer reviewer for leading journals, including The Lancet Digital Health, NPJ Digital Medicine, Medical Image Analysis, Medical Physics, Scientific Reports, British Journal of Radiology, BJR|Artificial Intelligence, Annals of Clinical and Translational Neurology, IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Radiation and Plasma Medical Sciences, IEEE Transactions on Biomedical Engineering, and IEEE Transactions on Neural Networks and Learning Systems.
Dr. Liu is an emerging leader in neuroimaging, stroke research, and artificial intelligence. His work has earned wide recognition, including the K99/R00 Award, the 2024 AJNR Lucien Levy Award, the David M. Yousem Research Fellow Award in both 2024 and 2025, and selection as a semi-finalist for the 2024 Cornelius G. Dyke Award. These honors underscore his promise as an investigator and his potential to make significant contributions to the field (https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html). His research has also been featured in Neurology Today, including his early work linking chain-of-thought methods with clinical reasoning to help advance the use of large language models in real-world clinical care (https://neurologytoday.aan.com/doi/10.1212/netod-blogs.10000031). -
Y. Lucy Liu, MD, PhD
Affiliate, Pediatrics - Hematology/Oncology
BioDr. Liu received her medical and clinical pharmacology training at two of the most prestigious medical institutions in China—West China School of Medicine (Sichuan University) and Peking Union Medical College (PUMC). She possesses extensive research experience in human molecular genetics, tumor biology, and experimental therapeutics.
Dr. Liu is internationally recognized for her expertise in two rare pediatric hematologic disorders: juvenile myelomonocytic leukemia (JMML) and Diamond-Blackfan anemia (DBA). She has authored more than 30 peer-reviewed publications in leading scientific journals, including Nature Genetics, Blood, Leukemia, and the Journal of Clinical Investigation (JCI). At her previous institutions, Dr. Liu served as a Principle Investigator (PI) and co-investigator on several NIH-funded research projects. In 2019, Dr. Liu joined the Department of Pediatrics at the Stanford University School of Medicine as a Senior Research Scientist. She recently developed a novel mouse model for DBA, which has proven to be a valuable tool for evaluating potential therapeutic strategies. Her current research focuses on elucidating the molecular pathogenesis of DBA and developing innovative treatment approaches for DBA. Since joining Stanford, Dr. Liu has published multiple manuscripts highlighting her ongoing research contributions. -
Yusong Liu
Staff Scientist, LCLS - Linac Coherent Light Source
BioI am a Staff Scientist in the LCLS Chemical Sciences Department at SLAC National Accelerator Laboratory. My research focuses on the excited-state dynamics of small organic molecules, with a particular emphasis on employing novel experimental techniques to probe these processes in real time and space.
Because these dynamics typically occur on attosecond to picosecond timescales, the strongly coupled electronic and nuclear motions drive ultrafast energy redistribution and structural transformations, processes that underpin fundamental phenomena across physics, chemistry, and biology.
Building on my extensive background in ultrafast laser science and time-resolved spectroscopy, my current work involves developing multi-modal experiments that integrate spectroscopy and diffraction. My toolkit includes time-resolved valence and soft X-ray core-ionization spectroscopy, as well as ultrafast electron and hard X-ray diffraction. These studies are conducted primarily at the LCLS X-ray FEL, the MeV-UED facility at SLAC, and our tabletop laser laboratories at the Stanford PULSE Institute.
