Stanford University
Showing 33,201-33,300 of 34,922 Results
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Joanna Wysocka
Lorry Lokey Professor and Professor of Developmental Biology
Current Research and Scholarly InterestsThe precise and robust regulation of gene expression is a cornerstone for complex biological life. Research in our laboratory is focused on understanding how regulatory information encoded by the genome is integrated with the transcriptional machinery and chromatin context to allow for emergence of form and function during human embryogenesis and evolution, and how perturbations in this process lead to disease.
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Tony Wyss-Coray, PhD
D. H. Chen Professor II
Current Research and Scholarly InterestsUse of genetic and molecular tools to dissect immune and inflammatory pathways in Alzheimer's and neurodegeneration.
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Yan Xia
Associate Professor of Chemistry
Current Research and Scholarly InterestsPolymer Chemistry, Microporous Polymer Membranes, Responsive Polymers, Degradable Polymers, Polymers with Unique Mechanical Behaviors, Polymer Networks, Organic Electronic Materials
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Jinxi Xiang
Postdoctoral Scholar, Radiation Physics
Current Research and Scholarly InterestsI develop machine leanring methods to autonomate the digital pathology.
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Tiange Xiang
Ph.D. Student in Computer Science, admitted Autumn 2022
BioTiange Xiang is a Ph.D. student in Computer Science at Stanford University, where he is a member of the Stanford AI Lab (SAIL) and Stanford Vision and Learning Lab (SVL). His research interests include machine learning and computer vision in general. He received a bachelor's degree in Computer Science and Technology (Advanced)(Honors) from the University of Sydney, where he was awarded Honors Class I and the University Medal.
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Haopeng Xiao
Assistant Professor of Biochemistry
Current Research and Scholarly InterestsWe develop mass spectrometry (MS)-based chemical systems biology approaches, combined with machine learning and biochemistry, to uncover the molecular mechanisms of metabolic regulation in physiology and disease. In parallel, we systematically investigate the ligandability and druggability of the human proteome, providing a foundation for the discovery of new therapeutic strategies for aging, metabolic disease, and cancer.
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Xingyao (Doria) Xiao
Postdoc Res Affiliate, Policy Analysis for California Education (PACE)
BioDr. Xingyao (Doria) Xiao is a postdoctoral scholar at Stanford’s Graduate School of Education, working on the LEVANTE project—an international effort to better understand how children learn and develop across different cultures and contexts. Her research focuses on using advanced statistical methods, like Bayesian modeling and psychometrics, to study learning over time and improve how we measure it fairly.
At Stanford, Dr. Xiao collaborates with Professors Ben Domingue and Nilam Ram to help design research tools that work across languages, cultures, and educational systems, supporting more inclusive and accurate educational research worldwide. -
Yuyin Xiao
Postdoctoral Scholar, Economics
BioYuyin Xiao is the postdoctoral researcher of the Freeman Spogli Institute for International Studies at Stanford University. She received her MS and PhD from Shanghai Jiaotong University. Her research focuses almost exclusively on low- and middle-income countries and is concerned with: health policy, including health equity, supply, demand and utilization of health service programs, and research on health service systems; health technology and innovation, including digital health, development of digital health tools, and evaluation of the effectiveness of digital interventions. Yuyin’s papers have been published in leading academic journals, including British Medical Journal, Journal of Medical Internet Research, Journal of Biomedical Informatics, BMC Public Health and others.
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Zhen Xiao
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsApplying magnetic nanomaterials for bioimaging and cancer treatment
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Chenghan Xie
Ph.D. Student in Management Science and Engineering, admitted Autumn 2024
Current Research and Scholarly InterestsOptimization, theory & practice. Energy-aware AI, nerual-network structure & data center management.
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James Xie
Clinical Associate Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Associate Professor, Clinical InformaticsBioDr. James Xie is a board certified pediatrician, pediatric anesthesiologist, and clinical informaticist at Stanford University School of Medicine. His goal is to improve patient care and promote health equity with health information technologies. Currently he serves as a clinical informaticist and Epic physician builder at Stanford Medicine Children's Health. He holds additional appointments in the Division of Obstetric Anesthesiology and Maternal Health and Division of Clinical Informatics.
Dr. Xie studied computer science and medicine at Stanford University, followed by a combined residency in general pediatrics at Boston Children's Hospital and Boston Medical Center and anesthesiology at Brigham and Women's Hospital. After residency, he completed a fellowship in pediatric anesthesiology at Stanford Children's Health where he subsequently joined the faculty. -
Min Xie
Postdoctoral Fellow, Medicine - Primary Care and Population Health
BioCausal inference using natural experiments with focuses on public health policy and medical intervention.
Also work on development economics topics of financial and education intervention.
PhD in economics, Heidelberg University
personal webpage: https://minxie.org -
Peter Xie
Ph.D. Student in Mechanical Engineering, admitted Autumn 2023
BioResearch:
Engineer developing hydrogels for cancer immunotherapies -
Shicong (Mimi) Xie
Basic Life Research Scientist, Biology
Current Research and Scholarly InterestsI use 4D imaging to study cell growth and cell cycle progression in epithelial organoid models and in intact mice.
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Xiaoze Xie
Paul L. and Phyllis Wattis Professor of Art
BioXiaoze Xie received his Master of Fine Art degrees from the Central Academy of Arts & Design in Beijing and the University of North Texas. He has had solo exhibitions at the Scottsdale Museum of Contemporary Art, AZ; Dallas Visual Art Center, TX; Modern Chinese Art Foundation, Gent, Belgium; Charles Cowles Gallery, New York; Gallery Paule Anglim, San Francisco; Nicholas Metivier Gallery, Toronto; China Art Archives and Warehouse, Beijing; Gaain Gallery, Seoul; Devin Borden Hiram Butler Gallery, Houston, TX; among others. He has participated in numerous group exhibitions including Shu: Reinventing Books in Contemporary Chinese Art at the China Institute Gallery in New York and Seattle Asian Art Museum, and the traveling exhibition Regeneration: Contemporary Chinese Art from China and the US. His 2004 solo at Charles Cowles was reviewed in “The New York Times”, “Art in America” and "Art Asia Pacific". More recent shows have been reviewed in “Chicago Tribune”, “The Globe and Mail” and “San Francisco Chronicle”. His work is in the permanent collection of the Museum of Fine Arts, Houston and the Scottsdale Museum of Contemporary Art and the Arizona State University Art Museum. Xie received the Pollock-Krasner Foundation Grant (2003) and artist awards from Phoenix Art Museum (1999) and Dallas Museum of Art (1996). Xie is the Paul L. & Phyllis Wattis Professor of Art at Stanford University.
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Lin Xin
Postdoctoral Scholar, Physics
BioLin Xin is a Postdoctoral Scholar in the Physics Department at Stanford University. He received his Ph.D. from the Georgia Institute of Technology, following undergraduate studies at Shanghai Jiaotong University. His current research centers on advancing optical control of interactions among laser-cooled atoms, with an eye towards applications in quantum simulation, metrology, and computation. He has developed protocols in quantum optimal control for entanglement-enhanced eigenstates in spinor Bose-Einstein condensates.
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Lei Xing
Jacob Haimson and Sarah S. Donaldson Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly Interestsartificial intelligence in medicine, medical imaging, Image-guided intervention, molecular imaging, biology guided radiation therapy (BGRT), treatment plan optimization
