Stanford University
Showing 1-20 of 21 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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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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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. -
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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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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Grace Xiong, MD
Assistant Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsDr. Xiong’s research is focused on improving the care and management of patients with subacute and chronic spinal cord injury, improving clinical outcomes in spinal surgery, and improving health access to spinal care.
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Kuang Xu
Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering
BioKuang Xu is an Associate Professor of Operations, Information and Technology at Stanford Graduate School of Business, and Associate Professor by courtesy with the Electrical Engineering Department, Stanford University. Born in Suzhou, China, he received the B.S. degree in Electrical Engineering (2009) from the University of Illinois at Urbana-Champaign, and the Ph.D. degree in Electrical Engineering and Computer Science (2014) from the Massachusetts Institute of Technology.
His research primarily focuses on understanding fundamental properties and design principles of large-scale stochastic systems using tools from probability theory and optimization, with applications in queueing networks, healthcare, privacy and machine learning. He received First Place in the INFORMS George E. Nicholson Student Paper Competition (2011), the Best Paper Award, as well as the Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS (2013), and the ACM SIGMETRICS Rising Star Research Award (2020). He currently serves as an Associate Editor for Operations Research and Management Science. -
Renyuan Xu
Assistant Professor of Management Science and Engineering
BioRenyuan Xu is an assistant professor of Management Science and Engineering (MS&E) at Stanford University. Prior to joining Stanford, she held positions at New York University (2024-2025) and the University of Southern California (2021–2024), and was a Hooke Research Fellow at the Mathematical Institute, University of Oxford (2019–2021). She received her Ph.D. in Operations Research from the University of California, Berkeley in 2019. Renyuan's current research interests include mathematical finance, stochastic analysis, stochastic controls and games, and machine learning theory. She received an NSF CAREER Award in 2024, the SIAM Activity Group on Financial Mathematics and Engineering Early Career Prize in 2023, and two JP Morgan AI Faculty Research Awards in 2022 and 2025.
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Sheng Xu
Professor of Anesthesiology, Perioperative & Pain Medicine (Department Research) and, by courtesy, of Electrical Engineering and of Materials Science & Engineering
BioDr. Sheng Xu is a tenured professor and the inaugural Director of Emerging Technologies in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University, with courtesy appointments in Electrical Engineering and Materials Science and Engineering. He earned his B.S. degree in Chemistry from Peking University and his Ph.D. in Materials Science and Engineering from the Georgia Institute of Technology. Subsequently, he pursued postdoctoral studies at the Materials Research Laboratory at the University of Illinois at Urbana-Champaign. He then spent 10 years on the faculty at UC San Diego before joining Stanford in 2025. His research group is interested in developing new materials and fabrication methods for soft electronics. His research has been presented to the United States Congress as a testimony to the importance and impact of NIH funding.
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Yiqing Xu
Associate Professor of Political Science
BioDr. Xu’s research focuses on political methodology (particularly causal inference) and comparative politics. He received his PhD in Political Science from the Massachusetts Institute of Technology in 2016, an MA in Economics from Peking University in 2010, and a BA in Economics from Fudan University in 2007.
His work has been published in leading journals, including American Political Science Review, American Journal of Political Science, The Journal of Politics, Political Analysis, Journal of the American Statistical Association, Journal of Economic Perspectives, and Nature Human Behaviour.
He has received numerous professional awards, including the John T. Williams Dissertation Prize (2014), Best Article Award from American Journal of Political Science (2016), Miller Prize (2018, 2020), Editors’ Choice Award from Political Analysis (2018, 2025), Best Statistical Software Award (2024, 2025), and Emerging Scholar Award from the Society for Political Methodology (2024).
Dr. Xu is affiliated with the Stanford Causal Science Center and the Stanford Center on China’s Economy and Institutions, as well as other research institutions.
