Stanford University
Showing 101-200 of 230 Results
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Bo Xiong
Postdoctoral Scholar, Biomedical Informatics
Current Research and Scholarly InterestsAI, Foundation Models, Biomedical Data Science
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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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熊剑 (Jian Xiong)
Postdoctoral Scholar, Chemical Engineering
BioI thrive to understand the roles of lysosomes in physiological and pathological conditions. Lysosomes are both degradation compartment and metabolic controlling hub, and dysregulation of lysosomal functions are frequently implicated in a vast number of diseases including neurodegenerative diseases, however, the systematic knowledge of the molecular mechanism by which lysosomal contributes to these diseases is lacking. Ion channels are the primary mediators of neuronal activity, defects in neuronal ion channel activity are linked with many kinds of neurodegenerative diseases. Interestingly, besides typical ion channels that are involved in the neuronal activity, defects in lysosomal ion channels, such as TRPML1, CLN7 and CLC-7 are also implicated in neuropathy. My previous work as Ph.D student in University of Texas MD Anderson Cancer Center focused on regulation of lysosomal function by ion channels and metabolites. I discovered a mechanism of lysosomal Na+ channel regulate mTORC1 activation by regulating lysosomal amino acid accumulation. I also discovered role of glutamine in controlling lysosomal degradation capacity. In the meantime, I developed novel methods to isolate organelles. My ultimate research goal is to understand the key developmental pathways and how alterations in gene sequences and expression contribute to human disease, therefore, I am pursuing independent academic researcher as my career goal. Starting Feb 2022, I work with Dr. Monther Abu-Remaileh at Stanford University on role of lysosomes in neurodegenerative diseases. I use genetics, chemical biology and omics approaches to study lysosome function under various physiological and pathological conditions, especially age-associated neurodegenerative disorders, and monogenic neurodegenerative lysosome storage diseases. In Stanford, I aim to integrate ionic regulation, metabolomic regulation and functional proteomic regulation to systematically understand the biology of lysosome in physiological conditions and pathological conditions.
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Lei Xiong
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsMy research focuses on develop deep learning methods to
1. Infer macrophage-tumor cells interaction using spatial multi-omics
2. Decipher the cis-regulatory code using a large language models
3. Predict enhancer-promoter interaction
4. Multi-omics integration
5. Build foundational model for single-cell genomics -
CHENHANG XU
Postdoctoral Scholar, Physics
BioI am a postdoctoral researcher at Stanford University in the Zong/Hwang group. I received my undergraduate and doctoral degrees from Shanghai Jiao Tong University (SJTU), where I specialized in pulsed laser deposition, the synthesis of complex oxide materials and MeV ultrafast electron diffraction (UED).
My research focuses on ultrafast structural dynamics in quantum materials using techniques such as MeV-UED, ultrafast electron microscopy (UEM), time-resolved X-ray diffraction, and pump–probe optical spectroscopy. These time-resolved probes are integrated with advanced and highly tunable sample environments, including in situ strain engineering and electrostatic gating, to actively control competing electronic, structural, and ferroic orders. This capability enables the design, discovery, and quantitative understanding of nonequilibrium phases, transient orders, and metastable states in quantum materials. -
Chunchen Xu
Postdoctoral Scholar, Psychology
BioI am currently a postdoc researcher at the Psychology Department at Stanford University. I study culture and the self in the context of AI-based smart technological developments. The first line of my work focuses on understanding and critiquing extant technological systems from a cultural perspective. I unpack cultural assumptions underlying conceptions of smart technology and examine technology's social and psychological impact. The second line of my work seeks to untether the self from extant mainstream meaning systems and open the space of the imaginary. I explore how historically marginalized cultural worldviews offer clues for diversifying conceptions of smart technology towards building a more equitable society and a caring ecology.
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Flora Jiaxuan Xu
Ph.D. Student in Environment and Resources, admitted Autumn 2023
BioFlora Jiaxuan Xu is a PhD candidate in the Emmett Interdisciplinary Program in Environment and Resources (E-IPER) at Stanford University, working at the intersection of environmental psychology, civil and environmental engineering, urban design, and behavioral science. Her research investigates how people define, experience, and internalize “nature” as part of the self, and how psychological, cultural, and built-environment factors shape human–nature relationships in contemporary cities.
Drawing on theories of identity, perception, cultural psychology, and ecological systems, Flora proposes Nature Identity as a new interdisciplinary framework for understanding how nature becomes woven into self-concept and everyday meaning-making. She employs a broad mixed-methods approach—including qualitative interviews, quantitative modeling, ecological momentary assessment, photovoice, and human-centered design—to examine how urban nature influences wellbeing, identity formation, and environmental behavior. In parallel, she develops creative, design-driven solutions such as immersive installations, biophilic illusions, narrative and sensory interventions, and technology-enabled building features that aim to strengthen nature connection and promote climate engagement in urban settings.
Flora works with the Social Ecology Lab and the Billington Lab, as well as external partners in urban design, behavioral science, and immersive storytelling. Her work seeks to bridge scientific research with real-world application, advancing strategies that integrate psychology, culture, and design to foster healthier and more nature-responsive cities.
Prior to Stanford, Flora completed an M.S. in Environmental Health at the Harvard T.H. Chan School of Public Health and holds B.A. degrees in Sustainable Environmental Design and Cognitive Science from the University of California, Berkeley. -
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.
