Stanford University
Showing 34,701-34,800 of 36,308 Results
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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. -
Kun Xu
Postdoctoral Scholar, Mechanical Engineering
Current Research and Scholarly InterestsMaterials characterization by using advanced electron microscopy
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Maya Emily Xu
Bachelor of Science, Honors, Biology with Honors
Masters Student in Biology, admitted Autumn 2022
Minor, Education
Stanford Student Employee, BiologyBioI'm an undergraduate ('25) and coterminal masters student majoring in biology (concentrating in ecology, evolution and environment). I previously completed a minor in education, a Notation for Science Communication, and will co-instruct BIO 121/221 (Ornithology) for the third time this spring.
Broadly, I'm interested in three main topics (which all have to do with birds!): 1) how birds can be used as indicator or sentinel species for environmental disturbance; 2) how interactions between humans and birds are shifting thanks to gradients of anthropogenic change; and 3) how these interactions can be shaped to better promote wider ecological health and beneficial services. I'm currently in the middle of a year-long study with Marty Freeland, funded by Jasper Ridge Biological Preserve's ('Ootchamin 'Ooyakma) (JROO) Mellon Grant, to compare the riparian bird communities at JROO and TomKat Ranch using three different survey methodologies (in-person transects, passive acoustic monitoring, and mob tape deployments). I'm also working closely with the San Francisco Bay Bird Observatory (SFBBO), where I volunteer as a bird banding trainee, and the Stanford SIGMA lab to quantify heavy metal contamination in the feathers of songbirds caught at the bird banding stations in JROO and the SFBBO's main station in Milpitas.
I previously conducted my senior honors thesis on how heavy metals affect raptors on the North American Pacific coast. My primary study species were the peregrine falcons (Falco peregrinus) breeding on top of Stanford University’s Hoover Tower, and the golden eagles (Aquila chrysaetos) breeding at JROO, where I'm a docent and former avian transect leader. -
Pei Xu
Postdoctoral Scholar, Computer Science
Current Research and Scholarly Interestscharacter animation, physics-based character control, crowd simulation
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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.
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Shiqin Xu
Senior Program Manager, HEART Lab, Medicine - Med/Cardiovascular Medicine
Current Role at StanfordSenior Program Manager, HEART Lab
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Weize Xu
Postdoctoral Scholar, Genetics
BioDr. Weize Xu is a postdoctoral researcher in Dr. Xiaojie Qiu's laboratory, where he focuses on advancing computational biology and genomics research. He earned his Ph.D. in Dr. Gang Cao's lab, where he made significant contributions to the development of computational methods and pipelines for spatial transcriptomics (MiP-Seq) and single-cell Hi-C (sciDLO Hi-C). His work during this time centered on enhancing data analysis frameworks, providing more precise insights into complex biological systems.
Dr. Xu is also an expert in the development of bioimaging processing softwares. During his Ph.D., he developed the U-FISH method, a deep learning-based approach for detecting signal points in FISH images. This innovative project involved curating a high-quality dataset from diverse sources, ensuring robust performance across various FISH data types. The resulting model demonstrated outstanding generalizability and included a user-friendly Web and LLM interface, making it accessible to researchers worldwide.
In addition to his Ph.D. research, Dr. Xu further honed his skills at SciLifeLab, where he worked under the mentorship of Dr. Wei Ouyang. There, he focused on web programming and developing key components for the Bioimage.IO deep learning platform, gaining valuable experience in creating innovative tools for computational biology.
With a solid foundation in computational biology, deep learning, and bioinformatics, Dr. Xu is passionate about driving cutting-edge research and contributing new perspectives to his field. He brings a unique combination of technical expertise and a collaborative mindset to his role in Dr. Xiaojie Qiu’s lab. -
Yiqing Xu
Assistant 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. -
Yishan Xu, PhD, DBSM, CST
Adjunct Clinical Instructor, Psychiatry and Behavioral Sciences - Sleep Medicine
BioDr. Xu is a licensed clinical psychologist in California, a Board-certified Behavioral Sleep Medicine Specialist, and AASECT Board-Certified Sex Therapist. She currently serves as the chair of the OPEC committee for the Society of Behavioral Sleep Medicine. She completed training at the Stanford Sleep Medicine Center 2017-2019. She has specialized training in the diagnosis and treatment of insomnia, circadian rhythm disorders, parasomnias, nightmares, and adjustment to PAP therapy for sleep apnea.
Dr. Xu grew up in China and received her Ph.D. in Clinical Psychology from the University of Virginia, VA. She has adapted treatment for insomnia for the Chinese population, and translated the book “The Rested Child” into Chinese, which is the first evidence-based book about children and teen’s sleep disorders in China. She is the founder and director of a multicultural group practice in the SF Bay Area: Mind & Body Garden Psychology Inc. She also hosts a podcast "Deep into Sleep" to help bridge the gap between public awareness and knowledge of sleep problems and the science of sleep medicine.
Publications:
Xu, Y., Barwick, F. & Li, C.(2023). Cultural Considerations in Behavioral Sleep Medicine (BSM): Telehealth Group CBT-I for Patients from a Traditional Chinese Medicine (TCM) Hospital (Submitted)
Prislin, R., Davenport, C., Xu, Y., Moreno, R., & Honeycutt, N. (2018). From marginal to mainstream and vice versa: Leaders' evaluation of diversity while in the minority versus majority. Journal of Social Issues, 74 (1), 112-128.
Attin, M., Xu, Y., Lin, C. D., & Lemus, H. (2015). A potential impact of nursing characteristics prior to in-hospital cardiac arrest: a self-reported study. Journal of Clinical Nursing, 24 (23-24), 3736-3738.
Hu, Y., Xu, Y.,& Tornello, S. L. (2015). Stability of Self-Reported Same-Sex and Both-Sex Attraction from Adolescence to Young Adulthood. Archives of sexual behavior, 1- 9.
Xu, Y., & Ocker, B. (2013). Discrepancies in Cross-cultural and cross-generational attitudes toward committed relationships in China and the United States. Family Court Review, 51 (4), 591–604.
Tornello, S. L., Emery, R., Rowen, J., Potter, D., Ocker, B., & Xu, Y. (2013). Overnight custody arrangements, attachment, and adjustment among very young children. Journal of Marriage and Family, 75 (4), 871-885.
Horn, E. E., Xu, Y., Beam, C. R., Turkheimer, E. & Emery, E. (2012). The marriage benefit? A genetically-informed study of selection and causation. Journal of Family Psychology, 27 (1), 30-41.
Prislin, R., Boyle, S. M., Davenport, C., Farley, A., Jacobs, E., Michalak, J., Uehara, K., Zandian, F., & Xu. Y. (2011). On being influenced while trying to persuade: The feedback effect of persuasion outcomes on the persuader. Social Psychological and Personality Science, 2 (1), 51-58.
Li, j., Xu, Y., & li, X. (2009). Correlation between atypical eating disorder and body- esteem of college students. Chinese Journal of Clinical Psychology, 17, 345-347. -
Yuli Xu
Postdoctoral Scholar, Sociology
BioYuli obtained her Ph.D. in Economics from the University of California San Diego in 2025. Her research fields are Labor and Health Economics, with a focus on Female Labor Supply, Fertility, and Human Capital.
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Zhaohui Xue
Curator for the Chinese Collection, East Asia Library
Current Role at StanfordAs Chinese studies librarian, I collect materials in all formats in Chinese language and provide research assistance for the Chinese studies. I serve as a liaison to the faculty in different departments and centers in the field of Chinese studies. I manage Chinese special collections and variety of projects in processing and promotion of Chinese collection at the East Asia Library.
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Zhichen Xue
Postdoctoral Scholar, Photon Science, SLAC
BioWith his experience in design and synthesis of energy materials, he is dedicated to informing the development of next-generation battery materials through interdisciplinary research and applications. His recent research mainly focuses on advanced synchrotron characterization techniques and advanced cathode materials.
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Honglei Xun
Affiliate, Jasper Ridge
BioI am a California Naturalist, Midpeninsula docent, and lifelong learner with a background in finance and product management. I came to the U.S. as an international student and later built a career in technology. Over time, I felt drawn back to ecology—particularly field observation, plant–fungus relationships, and the natural and cultural history of landscapes.
I am taking courses at Jasper Ridge to train my eye, ground my understanding in science, and learn directly from living systems. I am especially interested in how ecological knowledge can be translated into meaningful public interpretation, so that people without formal science backgrounds feel welcomed into nature.
I hope to be known as someone who listens closely to the land, learns carefully, and shares knowledge in a way that is accessible, thoughtful, and rooted in place. -
Kyndal Yada
Program Manager, SAL Early Childhood Education
Current Role at StanfordFIND Program Manager
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Pavan Yadav
Postdoctoral Scholar, Chemistry
BioI am a Postdoctoral Researcher at Stanford University, California, United States of America (CA, USA). I am passionate about using my skills and research knowledge to impact the world positively. I believe that my research has the potential to help us address some of the world's most pressing challenges at a worldwide level. I am excited to continue my research and contribute to developing novel technologies and novel drug delivery carrier systems to help us create a more sustainable future.
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Sandeep Yadav
Postdoctoral Scholar, Energy Science and Engineering
BioSandeep Yadav is a postdoctoral scholar in the Department of Energy Resources Engineering at the Stanford Doerr School of Sustainability. His research focuses on advancing sustainable energy systems, with an emphasis on techno-economic analysis and modeling of carbon capture retrofits for industrial decarbonization and energy efficiency. He earned his Ph.D. in Energy Science and Engineering from the Indian Institute of Technology (IIT) Bombay, where he specialized in the techno-economic assessment of carbon capture technologies, data center cooling, and combined cooling and power systems. Sandeep is committed to supporting the global transition to low-carbon energy and is passionate about mentoring the next generation of scientists and engineers.
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Eitan Yaffe
Affiliate, Medicine - Med/Infectious Diseases
BioDr. Eitan Yaffe is a computational biologist studying the evolution of natural microbial communities under selective pressures, such as antibiotics. He is currently a research associate in the lab of Dr. David Relman at Stanford University, where he develops experimental and computational approaches to investigate strain dynamics, horizontal gene transfer, and the emergence of antimicrobial resistance in the human microbiome.
Dr. Yaffe holds a PhD in Computer Science from the Weizmann Institute of Science, where he focused on epigenetics and chromatin folding. He earned his MSc in Computer Science with a specialization in the 3D structure of protein channels, and his BSc in Mathematics and Computer Science from the Hebrew University of Jerusalem.
