School of Medicine


Showing 101-110 of 131 Results

  • Yi Liu

    Yi Liu

    Postdoctoral Scholar, General Surgery

    BioDr. Liu is a postdoc fellow at Stanford University School of Medicine. She is also a Chinese board-certificated, fellowship-trained clinician with demonstrated clinical and research expertise in Critical Care Medicine and interdisciplinary studies of nanomedicine.

    She received her residency and fellowship training (Emergency Medicine & Intensive Care Medicine) at Chongqing Medical University (China) and sub-internship in Sorbonne Université (Pitié-Salpêtrière Hospital, Paris, France) and Tiantan Hospital (Beijing, China). In addition to her MD degree, She undertook PhD training in nanomedicine for cancer/infectious disease early detection and to identify potential new treatments for severe infectious/cancer patients. Her postdoctoral training in nano-enabled therapeutic at Stanford has helped advance her knowledge of how nanotechnology improve the application of nanomedicine in early diagnosis of diseases. She has published numerous articles on a wide range of nanoplatforms-related topics. She has also received several academic and teaching awards related to clinical skills and research on molecular imaging.

  • Yongkai Liu

    Yongkai Liu

    Postdoctoral Scholar, Radiology

    BioDr. Yongkai Liu is a postdoctoral scholar at Stanford's Center for Advanced Functional Neuroimaging, led by Drs. Greg Zaharchuk and Michael Moseley. His interests lie in developing and evaluating advanced techniques for improving treatment decision-making and prognostics in brain diseases, especially stroke, using imaging and deep learning.

    Before joining Stanford, he earned a Ph.D. from UCLA, majoring in Physics and Biology in Medicine, under the supervision of Prof. Kyung Sung. This gave him a solid 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 the development of advanced deep learning and machine learning techniques specifically for MRI-based clinical applications. During his master's degree, he studied CT Virtual Colonoscopy under the supervision of Prof. Jerome Liang. In addition, he served as a reviewing editor for Frontiers in Oncology and as a peer reviewer for several critical journals in medical imaging, such as 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, and AI, earning widespread recognition for his work. Being named the recipient of the 2024 AJNR Lucien Levy Award, the David M. Yousem Research Fellow Award, and a semi-finalist for the 2024 Cornelius G. Dyke Award underscores his potential to make significant future contributions. (https://med.stanford.edu/rsl/news/yongkai-liu-receives-research-fellow-award.html)

  • TZU HAN LO

    TZU HAN LO

    Postdoctoral Scholar, Gastroenterology

    BioTzu-Han Lo, a researcher at the Institute of Biomedical Sciences at Academia Sinica, has made contributions to the field of macrophage biology. His work has particularly focused on inflammation, especially in the context of fibrotic response. One of his works includes a study on the regulation of macrophage polarization in ureteral obstruction. This research has illuminated the role of inflammatory cell infiltration and activation during the early stages of kidney injury, a common pathological feature of chronic kidney disease.

    In addition to his work on macrophage biology, Tzu-Han Lo has also delved into research related to galectins, a family of β-galactoside–binding proteins. His work in this area has centered on the role of galectins in recognizing microbial glycans, particularly lipopolysaccharides (LPSs). He has explored their impact on host defense mechanisms, including autophagy and both canonical and non-canonical inflammasome signaling pathways.

    His research has offered insights into the complex interactions between host immunity and microbial components. This has contributed to our understanding of inflammatory responses and their implications for human health.