Stanford University
Showing 1-100 of 228 Results
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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
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 -
Shicong (Mimi) Xie
Basic Life Research Scientist
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
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Xiaojing Xing
Masters Student in Clinical Informatics Management, admitted Summer 2025
BioXiaojing Xing is a health tech founder and product leader working at the intersection of medicine, business, and technology. She has driven AI-powered innovations across hardware and software—building from MVP to scale at both startups and global tech companies.
At Tencent, she led digital health platforms serving over 30 million users and launched AI tools that empowered 200,000+ physicians. Later, as Chief Product Officer at MindLax, she brought a neurofeedback sleep device from concept to market, growing it to thousands of users through data-driven iteration and user empathy.
Recognized on Forbes 30 Under 30 China, Xiaojing blends product management, global go-to-market strategy, and health innovation expertise. She is currently focused on applying AI to consumer health—creating intelligent, accessible technologies that make wellbeing part of everyday life.
Xiaojing holds degrees from Stanford University School of Medicine, Harvard T.H. Chan School of Public Health, and Peking University Health Science Center. -
Lulu Xing
Affiliate,
BioLulu received her undergraduate degree in Biomedicine from the University of Melbourne in Melbourne, Australia. In December 2016, Lulu was awarded a PhD degree in neuroscience from the Florey Institute of Neuroscience and Mental Health, the University of Melbourne, where she identified a major under-appreciated role for subventricular zone-derived neural precursor cells in the process of myelin regeneration after demyelinating injury. Since late 2016, Lulu worked at Australian Regenerative Medicine Institute, Monash University as a postdoctoral fellow in Dr. Tobias Merson’s group, with a focus on developing mouse models to study the molecular and cellular mechanisms underlying myelination mediated by distinct types of endogenous brain stem cells in health and disease. In particular, Lulu developed a novel mouse model of conditional OPC ablation, which could be adopted in different neurological contexts to further advance our knowledge and understanding of OPC biology. Lulu joined the Petritsch lab in late October 2022 as a research scientist, seeking to understand the role of OPCs in the development of glioma as tumour-initiating cells and how they are regulated by complex interactions with several cell types within the tumour microenvironment, using a combination of transgenic mouse models, advanced imaging techniques and single cell biology approaches.
