Vice Provost and Dean of Research
Showing 1-10 of 36 Results
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Yonatan Winetraub
Instructor, Structural Biology
Current Research and Scholarly InterestsMy interests span non-invasive imaging for early cancer diagnosis and space exploration.
I'm focusing on utilizing Optical Coherence Tomography (OCT) and machine learning to create virtual histology tools to image cancer non invasively at a single cell resolution, allowing physicians to skip biopsy (read more about the research). Prior to my PhD at Stanford, I co-founded SpaceIL, a non-profit organization that launched the first private interplanetary robotic mission to the Moon launched 2019. -
Anthony Wagner
Lucie Stern Professor in the Social Sciences
Current Research and Scholarly InterestsCognitive neuroscience of memory and cognitive/executive control in young and older adults. Research interests include encoding and retrieval mechanisms; interactions between declarative, nondeclarative, and working memory; forms of cognitive control; neurocognitive aging; functional organization of prefrontal cortex, parietal cortex, and the medial temporal lobe; assessed by functional MRI, scalp and intracranial EEG, and transcranial magnetic stimulation.
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Rebecca D. Walker
Clinical Associate Professor, Emergency Medicine
Current Research and Scholarly InterestsInterests include international development in emergency care, healthcare disparities, wilderness medicine, human rights, administration
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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
BioLi is a developmental neurobiologist with interdisciplinary training in genomics, proteomics, and neuroscience. His research seeks to understand how cellular and synaptic diversity arises during human brain development and evolution, and how these same mechanisms may be hijacked in diseases such as brain cancer.
Li received his B.S. from Fudan University in China, where he studied synaptic plasticity during critical periods in the visual cortex. During his Ph.D. with Dr. Huda Zoghbi at Baylor College of Medicine, Li explored the molecular basis of neurodevelopmental disorders, uncovering how mutations in key proteins like SHANK3 and MeCP2 disrupt neural function. His postdoctoral work with Dr. Arnold Kriegstein at UCSF expanded this focus to human brain development at single-cell resolution. He generated multi-omic atlases and cross-species proteomic maps that revealed novel progenitor cell types and human-specific synapse maturation programs, with implications for cognition and brain cancer. Li directs the Human Brain Development Lab (https://www.liwanglab.org) at Stanford University, where he continues to investigate human brain development with a focus on stem cell lineages and synaptic diversity.
Li has received many awards, including the NIH K99/R00 Pathway to Independence Award, the Trainee Professional Development Award from the Society for Neuroscience, the Keystone Symposia Scholarship, the Dennis Weatherstone Predoctoral Fellowship from Autism Speaks, and the Dean’s Award for Excellence from Baylor College of Medicine. -
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 biosensors, information storage and spintronics. His research and inventions span across a variety of areas including magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors.
