School of Medicine
Showing 101-145 of 145 Results
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Ruizhe Liu
Postdoctoral Scholar, Psychiatry
Bio2014 - 2020Graduate student, Department of Psychology, University of Pittsburgh, Pittsburgh, PA, U.S.
2009 - 2012 M.S. in Psychology. School of Psychology, Beijing Normal University (BNU), Beijing, China
2005 - 2009 B.S. in Psychology. Department of Psychology, East China Normal University (ECNU), Shanghai, China -
Sheng Liu
Postdoctoral Scholar, Biomedical Data Sciences
BioSheng Liu is a postdoctoral fellow at Stanford University. In May 2023, He received a Ph.D. degree from New York University, majoring in Data Science and Machine Learning. His background is in the area of robust and trustworthy machine learning, machine learning for healthcare.
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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
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
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. -
Renske Lok
Postdoctoral Scholar, Psychiatry
Current Research and Scholarly InterestsI'm interested in questions regarding perceived experiences and measured markers of those experiences, for example how do perceived sleep quality relate to sleep quality measured, or how does daytime sleepiness relate to sleep quality at night.
Other interests include effects of daytime light exposure on nighttime sleep, circadian clock phase changes by flashes of light, and how stability and variability in daily rhythms can predict health and disease -
Chenery Lowe
Postdoctoral Scholar, Biomedical Ethics
BioChenery Lowe, Ph.D., CGC, is a genetic counselor and healthcare communication researcher. She received her ScM in Genetic Counseling from the Johns Hopkins University/ National Institutes of Health Genetic Counseling Training Program in 2018. Chenery received her Ph.D. in Social and Behavioral Sciences from Johns Hopkins Bloomberg School of Public Health in 2022, where she later served as an assistant scientist and academic director for the JHU/NIH genetic counseling program. Clinically, she has provided genetic counseling in immunology and adult oncology settings. She has taught graduate-level courses on interpersonal communication in health care, health literacy, and social and behavioral research in genetic counseling. Her research interests are in the areas of patient-provider communication, health equity, implicit bias, communication skills training interventions, and the ethics of interpersonal influence in medical care.
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Ning Lu
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioNing Lu received a joint Ph.D. degree in Biomedical Engineering and Scientific Computing from the University of Michigan, Ann Arbor, USA, in 2023. Previously, she earned a B.S.E. degree (highest honors) in Biomedical Engineering from Southeast University, Nanjing, China, in 2018. From May 2022 to September 2022, she worked at Meta (formerly Facebook) Reality Labs as a research scientist intern on ultrasonic eye tracking for AR/VR wearable devices, in Redmond, Washington, USA. Her research interests include ultrasound instrumentation, ultrasound therapy, ultrasound imaging algorithms, and AI in healthcare.
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Pan Lu
Postdoctoral Scholar, Biomedical Data Sciences
Current Research and Scholarly InterestsMy research goal is to build machines that can reason and collaborate with humans for the common good. My primary research focuses on machine learning and NLP, particularly machine reasoning, mathematical reasoning, and scientific discovery:
1. Mathematical reasoning in multimodal and knowledge-intensive contexts
2. Tool-augmented large language models for planning, reasoning, and generation
3. Parameter-efficient fine-tuning for fondation models
4. AI for scientific reasoning and discovery -
Dian Lu (Lyu 吕)
Postdoctoral Scholar, Neurology and Neurological Sciences
BioDian received her Master's degree in Cognitive Neurosciences from University College London, and her Ph.D. in Clinical Neurosciences from the University of Cambridge. Her previous work focused on default-mode-network functional connectivity and inter-network interactions across different brain states. She is interested in consciousness studies involving self-related cognition using intracranial EEG and electrical stimulation and precision mapping of anatomy and function by leveraging computational modeling.
