Wu Tsai Neurosciences Institute
Showing 601-620 of 660 Results
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Dennis Wall
Professor of Pediatrics (Clinical Informatics), of Biomedical Data Science and, by courtesy, of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsSystems biology for design of clinical solutions that detect and treat disease
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James Wall
Clinical Professor, Surgery - Pediatric Surgery
Current Research and Scholarly InterestsHealth Technology Innovation
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Brian A. Wandell
Isaac and Madeline Stein Family Professor and Professor, by courtesy, of Electrical Engineering, of Ophthalmology and of Education
Current Research and Scholarly InterestsModels and measures of the human visual system. The brain pathways essential for reading development. Diffusion tensor imaging, functional magnetic resonance imaging and computational modeling of visual perception and brain processes. Image systems simulations of optics and sensors and image processing. Data and computation management for reproducible research.
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Bo Wang
Associate Professor of Bioengineering and, by courtesy, of Developmental Biology
Current Research and Scholarly InterestsResearch interests:
(1) Systems biology of whole-body regeneration
(2) Cell type evolution through the lens of single-cell multiomic sequencing analysis
(3) Quantitative biology of brain regeneration
(4) Regeneration of animal-algal photosymbiotic systems -
Gordon Wang
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioGordon Wang received his Bachelors of Arts and Science from the University of California, Davis in 2000 majoring in Comparative literature and Genetics. He received his PhD under Dr. Mu-ming Poo at the University of California, Berkeley in 2005 studying the role of ion channels in mediating neuronal growthcone guidance decisions. As a postdoctoral scholar in the lab of Dr. Stephen Smith at Stanford University, Gordon developed a computational architecture for the detailed study of molecular diversity in synapses and using this system, he studied the diverse role of synaptic diversity in neurodevelopmental diseases, such as fragile x syndrome. In a co-postdoc in Dr. Philippe Mourrain's lab, he studied the dynamic plasticity of synapses in sleep and circadian cycles in larval zebrafish using multi-photon microscopy. The Wang lab focuses on developing imaging tools to deeply analyze proteins, mRNA and lipids at the synapses, and understand how synaptic heterogeneity affect the function of neural circuits throughout development and aging and in diseases such as autism and fragile x syndrome.
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Li Wang
Assistant Professor of Biology
Current Research and Scholarly InterestsWe study how the extraordinary diversity of cells and synapses in the brain is generated, organized, and maintained, and how these processes are disrupted in diseases such as neurodevelopmental disorders and brain cancer. By combining single-cell and spatial genomics, lineage tracing, perturbation screens, synaptic proteomics, and machine learning models, we aim to uncover the molecular rules that define neural identity and connectivity.
Our research spans two interrelated themes, each grounded in human biology and driven by cutting-edge technologies. By comparing these processes across species, we aim to uncover both conserved mechanisms and human-specific innovations that define the unique features of the human brain. -
Shan X. Wang
Leland T. Edwards Professor in the School of Engineering and Professor of Electrical Engineering and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsShan Wang was named the Leland T. Edwards Professor in the School of Engineering in 2018. He directs the Center for Magnetic Nanotechnology and is a leading expert in Edge AI, biosensors, information storage and spintronics. His research and inventions span across a variety of areas including Edge AI, magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors.
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Sui Wang, PhD
Associate Professor of Ophthalmology
Current Research and Scholarly InterestsOur research focuses on unraveling the molecular mechanisms underlying retinal development and diseases. We employ genetic and genomic tools to explore how various retinal cell types, including neurons, glia, and the vasculature, respond to developmental cues and disease insults at the epigenomic and transcriptional levels. In addition, we investigate their interactions and collective contributions to maintain retinal integrity.
1. Investigating retinal development:
We utilize genetic tools and methods such as in vivo plasmid electroporation and CRISPR to dissect the roles of cis-regulatory elements and transcription factors in controlling retinal development.
2. Understanding diabetes-induced cell-type-specific responses in the retina:
Diabetes triggers a range of multicellular responses in the retina, such as vascular lesions, glial dysfunction, and neurodegeneration, all of which contribute to retinopathy. We delve into the detailed molecular mechanisms underlying these diabetes-induced cell-type-specific responses and the pathogenesis of diabetic retinopathy.
3. Developing molecular tools for labeling and manipulation of specific cell types in vivo:
Cis-regulatory elements, particularly enhancers, play pivotal roles in directing tissue- and cell-type-specific expression. Our interest lies in identifying enhancers that can drive cell type-specific expression in the retina and brain. We incorporate these enhancers into plasmid or AAV-based delivery systems, enabling precise labeling and manipulation of specific cell types in vivo. -
Xinnan Wang
Professor of Neurosurgery
Current Research and Scholarly InterestsMechanisms underlying mitochondrial dynamics and function, and their implications in neurological disorders.
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Yuyan Wang
Assistant Professor of Marketing at the Graduate School of Business
BioYuyan Wang is an assistant professor of marketing and Kevin J. O’Donohue Family Faculty Scholar for 2024–2025 at Stanford Graduate School of Business. With over six years of industry experience at Google DeepMind and Uber as a machine learning researcher, she has designed algorithms for understanding and improving the long-term values of recommender systems, many of which have been deployed globally in multiple products at Google and Uber Eats. Her background is in statistics, with a PhD from the Department of Operations Research & Financial Engineering (ORFE) at Princeton University and a BSc from the Special Class for the Gifted Young at the University of Science of Technology of China. She has received the Steven Shugan Best Junior Faculty Paper Award at the AI in Management Conference (AIM) in 2025, and the Best Paper Award at the Conference on Information Systems and Technology (CIST) in 2022.
At Stanford GSB, Wang created and taught Understanding AI Technologies for Business Problems, the school’s first technical MBA course on AI. -
Kenneth Weber, DC, PhD
Assistant Professor (Research) of Anesthesiology, Perioperative and Pain Medicine (Adult Pain) and, by courtesy, of Neurosurgery (Adult Neurosurgery) and of Radiology (Neuroimaging and Neurointervention)
BioDr. Weber directs the Neuromuscular Insight Lab. Dr. Weber's research seeks to develop quantitative markers of sensory and motor function, including pain, using machine-learning and advanced brain, spinal cord, and musculoskeletal magnetic resonance imaging. Dr. Weber aims to use these techniques to better understand the neuropathology of neurological and musculoskeletal conditions and discover more effective treatments and preventative strategies.
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Irving Weissman
Virginia & D.K. Ludwig Professor of Clinical Investigation in Cancer Research, Professor of Pathology, and of Developmental Biology
Current Research and Scholarly InterestsStem cell and cancer stem cell biology; development of T and B lymphocytes; cell-surface receptors for oncornaviruses in leukemia. Hematopoietic stem cells; Lymphocyte homing, lymphoma invasiveness and metastasis; order of events from hematopoietic stem cells [HSC] to AML leukemia stem cells and blood diseases, and parallels in other tissues; discovery of tumor and pathogenic cell 'don't eat me' and 'eat me' signals, and translation into therapeutics.
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Itschak Weissman
Robert and Barbara Kleist Professor in the School of Engineering
BioTsachy's research focuses on Information Theory, Data Compression and Communications, Statistical Signal Processing, Machine Learning, the interplay between them, and their applications, with recent focus on applications to genomic data compression and processing. He is inventor of several patents and involved in several companies as member of the technical board. IEEE fellow, he serves on the board of governors of the information theory society as well as the editorial boards of the Transactions on Information Theory and Foundations and Trends in Communications and Information Theory. He is founding Director of the Stanford Compression Forum.
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Jill Saylin Wentzell
Executive Director, Wu Tsai Neurosciences Institute
Current Role at StanfordExecutive Director, Wu Tsai Neurosciences Institute
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Marius Wernig
Professor of Pathology and, by courtesy, of Chemical and Systems Biology
Current Research and Scholarly InterestsEpigenetic Reprogramming, Direct conversion of fibroblasts into neurons, Pluripotent Stem Cells, Neural Differentiation: implications in development and regenerative medicine
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Robert West
Sabine Kohler, MD, Professor of Pathology
Current Research and Scholarly InterestsRob West, MD, PhD, is a Professor of Pathology at Stanford University Medical Center. He is a clinician scientist with experience in translational genomics research to identify new prognostic and therapeutic markers in cancer. His research focus is on the progression of neoplasia to carcinoma. His lab has developed spatially oriented in situ methods to study archival specimens. He also serves as a surgical pathologist specializing in breast pathology.
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Gordon Wetzstein
Associate Professor of Electrical Engineering and, by courtesy, of Computer Science
BioGordon Wetzstein is an Associate Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab and a faculty co-director of the Stanford Center for Image Systems Engineering. At the intersection of computer graphics and vision, artificial intelligence, computational optics, and applied vision science, Prof. Wetzstein's research has a wide range of applications in next-generation imaging, wearable computing, and neural rendering systems. Prof. Wetzstein is a Fellow of Optica and the recipient of numerous awards, including an NSF CAREER Award, an Alfred P. Sloan Fellowship, an ACM SIGGRAPH Significant New Researcher Award, a Presidential Early Career Award for Scientists and Engineers (PECASE), an SPIE Early Career Achievement Award, an Electronic Imaging Scientist of the Year Award, an Alain Fournier Ph.D. Dissertation Award as well as many Best Paper and Demo Awards.
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Matthew T. Wheeler
Associate Professor of Medicine (Cardiovascular Medicine)
Current Research and Scholarly InterestsTranslational research in rare and undiagnosed diseases. Basic and clinical research in cardiomyopathy genetics, mechanisms, screening, and treatment. Investigating novel agents for treatment of hypertrophic cardiomyopathy and new mechanisms in heart failure. Cardiovascular screening and genetics in competitive athletes, disease gene discovery in cardiomyopathy and rare disease. Informatics approaches to rare disease and multiomics. Molecular transducers of physical activity bioinformatics.
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Francis Robert Willett
Assistant Professor of Neurosurgery
BioFrank Willett is co-director of the Neural Prosthetics Translational Laboratory. Our group develops brain-computer interfaces (BCIs) to restore movement and communication to people with neurological disorders. Recent contributions include handwriting and speech-based BCIs that set new records for communication speed and accuracy in people with paralysis. More broadly, we are interested in computational approaches to understanding brain function and recordings, with a focus on how the human brain represents movement and language.
