Stanford University
Showing 35,251-35,300 of 37,038 Results
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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
BioUnderstanding mechanisms of metabolic regulation in physiology and disease forms the basis for developing therapies to treat diseases in which metabolism is perturbed. We devise novel mass spectrometry (MS)-based proteomics technologies, combined with data science, to systematically discover mechanisms of metabolic regulation over protein function. Our strategies established the first tissue-specific landscape of protein cysteine redox regulation during aging, elucidating mechanisms of redox signaling in physiology that remained elusive for decades. We also leverage the genetic diversity of outbred populations to systematically annotate protein function and protein-metabolite co-regulation. The aim of our research program is to develop next-generation MS-based strategies to understand mechanisms of metabolic regulation in aging, metabolic disease, and cancer, and to use this knowledge as a basis to develop translational therapeutics.
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Xingyao (Doria) Xiao
Postdoctoral Scholar, Education
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
