School of Medicine
Showing 6,601-6,620 of 12,892 Results
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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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Wanlu Liu
Affiliate, Institute for Immunity, Transplantation, and Infection Operations
Visiting Scholar, Institute for Immunity, Transplantation, and Infection OperationsBioAcademic Appointments
- Associate Professor, Zhejiang University
- Visiting Scholar, Stanford University School of Medicine (Mark M. Davis Lab)
Professional Education
- Ph. D., UCLA, Molecular Biology/Bioinformatics (2018)
- B.Med., Zhejiang University School of Medicine (2013)
Selected Publications:
- Ruonan Tian#, Zhejian Yu#, Ziwei Xue, Lize Wu, Jiaxin Wu, Shuo Cai, Bing Gao, Bing He, Yu Zhao, Jianhua Yao, Linrong Lu, Wanlu Liu*; Evaluation of T cell receptor construction methods from scRNA-seq data, Genomics Proteomics & Bioinformatics, 2025, 22(6), qzae086
- Ziwei Xue#, Lize Wu#, Ruonan Tian, Bing Gao, Yu Zhao, Bing He, Di Sun, Bingkang Zhao, Yicheng Li, Kaixiang Zhu, Lie Wang, Jianhua Yao*, Wanlu Liu*, Linrong Lu*; Integrative Mapping of Human CD8+ T Cell in Inflammation and Cancer, Nature Methods, 2025, 22(2), 435-445
- Jian Zhang#, Ruonan Tian#, Jie Yuan#, Zhang Siwen, Zhexu Chi, Weiwei Yu, Qianzhou Yu, Zhen Wang, Sheng Chen, Mobai Li, Dehang Yang, Tianyi Hu, Qiqi Deng, Xiaoyang Lu, Xue Zhang, Jia Liu, Wanlu Liu*, Di Wang*; A two-front nutrient supply environment fuels small intestinal physiology through differential regulation of nutrient absorption and host defense, Cell, 2024, 187(22), 6251-6271.
- Yaqi Su, Zhejian Yu, Siqian Jin, Zhipeng Ai, Ruihong Yuan, Xinyi Chen, Ziwei Xue, Yixin Guo, Di Chen, Hongqing Liang, Zuozhu Liu, Wanlu Liu*; Comprehensive assessment of mRNA isoform detection methods for long-read sequencing data, Nature Communications, 2024, 15, 3972
- Yixin Guo, Ziwei Xue, Meiting Gong, Siqian Jin, Xindi Wu, Wanlu Liu*; CRISPR-TE: a web-based tool to generate single guide RNAs targeting transposable elements, Mobile DNA, 2024, 14(1), 3
- Xinyu Xiang#, Yu Tao#, Jonathan DiRusso, Fei-Man Hsu, Jinchun Zhang, Ziwei Xue, Julien Pontis, Didier Trono, Wanlu Liu*, Amander T. Clark*; Human reproduction is regulated by retrotransposons derived from ancient Hominidae-specific viral infections, Nature Communications, 2022
- Lize Wu#, Ziwei Xue#, Siqian Jin, Jinchun Zhang, Yixin Guo, Yadan Bai, Xuexiao Jin, Chaochen Wang, Lie Wang, Zuozhu Liu, James Q. Wang, Linrong Lu*, Wanlu Liu*; huARdb: human Antigen Receptor database for interactive clonotype-transcriptome analysis at the single-cell level, Nucleic Acids Research, 2021, gkab857
- Yixin Guo, Ziwei Xue, Ruihong Yuan, Jingyi Jessica Li, William A. Pastor, Wanlu Liu*; RAD: a web application to identify region associated differentially expressed genes, Bioinformatics, 2021, 37(17): 2741-2743. -
Wendy Liu, MD, PhD
Assistant Professor of Ophthalmology
Current Research and Scholarly InterestsDr. Liu's research interests include the role of mechanosensation in the eye as it relates to the pathophysiology of glaucoma, with the goal of finding new druggable targets in glaucoma treatment.
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Xin Liu
Basic Life Science Research Scientist, Genetics
BioXin Liu is a postdoctoral Research Scientist in the Department of Genetics at Stanford University. Xin holds a PhD in Chemistry from the University of Michigan, Ann Arbor. Her basic research interests include RNA and protein biochemistry, enzymology, cancer immunology, and autoimmune disease. She has published papers in several prestigious journals in the field of biochemistry, including Nature Communications, Journal of American Chemical Society, and Nucleic Acids Research. The highlight of her multidisciplinary research includes the development of high-throughput enzymatic methods to discover anti-microbial agents and to reveal mechanisms behind human mitochondrial diseases, as well as innovative applications of genome engineering and machine-learning to decode principles of RNA editing in human cells. Her current research focuses on the mechanistic study of innate immune pathways.
