Stanford University
Showing 2,001-2,050 of 2,770 Results
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Qiao Liu
Postdoctoral Scholar, Statistics
BioI am currently a postdoctoral scholar at the Department of Statistics, Stanford University, advised by Prof. Wing Hung Wong. I will be joining the Department of Biostatistics, Yale University as an tenure-track assistant professor at 2025 Fall. My general research interest lies in the multi-disciplinary area where I have been committed to developing practical statistical and machine learning tools with significance in both statistical theory and applications. In particular, I have been pursuing this research agenda by exploiting the advances in generative artificial intelligence (AI) to tackle several fundamental statistical problems, such as density estimation, causal inference, and unsupervised learning with also broad applications in computational biology.
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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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Sihong Liu
Research Associate
BioDr. Sihong Liu is a Social Science Research Scholar at Stanford Center on Early Childhood (SCEC) in the Graduate School of Education. Dr. Liu obtained her Ph.D. in Human Development and Family Science at the University of Georgia in 2020, and a B.S. in Statistics from Renmin University of China in 2015. Her research focuses on investigating the developmental processes of risk and resilience among children and adolescents exposed to early life stress, with the ultimate goal of directly developing intervention programs and influencing social policies
Dr. Liu adopts various research perspectives and methodologies in her research investigation. One particular research area of her work examines the underlying neurobiological mechanisms that connect early experiences to youth's behavioral outcomes, where she employs neuroimaging, electrocardiogram, and neuroendocrine stress response assessments to study the multi-level neurobiological processes. In line with the neurobiological focus, her recent work specifically examines how unpredictability in early experiences affect child socioemotional and cognitive development as well as the neural and stress response underpinnings of these effects.
Currently, Dr. Liu is also actively involved in the ongoing RAPID project, a large national survey platform that uses frequent, brief, online surveys to assess essential needs from families and child care providers and provide actionable data to key stakeholders to inform policy and program decisions. As the methodologist of the RAPID project, Dr. Liu works with partners from local communities, advocacy groups, and academic institutions and leverages both quantitative and qualitative analytical strategies to transform parents' and child care providers voices into actionable practices. -
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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William Z Liu
Undergraduate, Vice Provost for Undergraduate Education
BioFrom Bellevue, WA.
Class of 2028. -
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.
