Stanford University
Showing 7,561-7,570 of 7,809 Results
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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
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 a courtesy appointment in Electrical 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.
