Wu Tsai Neurosciences Institute
Showing 641-660 of 672 Results
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Jiajun Wu
Assistant Professor of Computer Science and, by courtesy, of Psychology
BioJiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University, working on computer vision, machine learning, robotics, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Wu's research has been recognized through the IJCAI Computers and Thought Award, the Young Investigator Programs (YIP) by ONR and by AFOSR, the Early Career Program (ECP) by ARO, the NSF CAREER award, the Okawa research grant, the AI's 10 to Watch by IEEE Intelligent Systems, paper awards and finalists at ICCV, CVPR, SIGGRAPH Asia, ICRA, CoRL, and IROS, dissertation awards from ACM, AAAI, and MIT, the 2020 Samsung AI Researcher of the Year, and faculty research awards from Microsoft, Google, Nvidia, J.P. Morgan, Samsung, Amazon, and Meta.
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Joseph C. Wu, MD, PhD
Director, Stanford Cardiovascular Institute, Simon H. Stertzer, MD, Professor and Professor of Radiology
Current Research and Scholarly InterestsDrug discovery, drug screening, and disease modeling using iPSC.
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Courtney Wusthoff, MD
Member, Maternal & Child Health Research Institute (MCHRI)
Current Research and Scholarly InterestsMy projects focus on clinical research in newborns with, or at risk, for brain injury. I use EEG in at-risk neonates to better understand the underlying pathophysiology of risk factors that may lead to worse outcomes. I am particularly interested in neonatal seizures and how they may exacerbate perinatal brain injury with a goal to identify treatments that might protect the vulnerable brain. I am also interested in EEG in other pediatric populations, as well as medical ethics and global health.
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Joanna Wysocka
Lorry Lokey Professor and Professor of Developmental Biology
Current Research and Scholarly InterestsThe precise and robust regulation of gene expression is a cornerstone for complex biological life. Research in our laboratory is focused on understanding how regulatory information encoded by the genome is integrated with the transcriptional machinery and chromatin context to allow for emergence of form and function during human embryogenesis and evolution, and how perturbations in this process lead to disease.
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Tony Wyss-Coray, PhD
D. H. Chen Professor II
Current Research and Scholarly InterestsUse of genetic and molecular tools to dissect immune and inflammatory pathways in Alzheimer's and neurodegeneration.
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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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Sheng Xu
Professor of Anesthesiology, Perioperative & Pain Medicine (Department Research) and, by courtesy, of Electrical Engineering and of Materials Science & 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 courtesy appointments in Electrical Engineering and Materials Science and 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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Daniel Yamins
Associate Professor of Psychology and of Computer Science
Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis. -
Fan Yang
Associate Professor of Orthopaedic Surgery and of Bioengineering
Current Research and Scholarly InterestsOur lab’s mission is to develop therapies for regenerating human tissues lost due to diseases or aging, and to build tissue engineered 3D models for understanding disease progression and informing drug discovery. We invent biomaterials and engineering tools to elucidate and modulate biology, and also use biology to inform materials and engineering design. Our work is highly interdisciplinary, and is driven by unmet clinical needs or key gaps in biology.
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Yanmin Yang
Associate Professor of Neurology and Neurological Sciences (Neurology Research Faculty)
Current Research and Scholarly InterestsElucidate biological functions of cytoskeletal associated proteins in neurons. Define the cellular and molecular mechanisms underlying neurodegeneration in null mice.
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Yunzhi Peter Yang
Professor of Orthopaedic Surgery and, by courtesy, of Materials Science and Engineering and of Bioengineering
Current Research and Scholarly InterestsThe Yang Lab focuses on next-generation solutions at the intersection of 3D printing, regenerative medicine, modular tissue engineering, biomaterials, and medical device innovation. Our research focuses on engineering dynamic, biomimetic microenvironments that promote cell growth, tissue regeneration, and functional restoration. We develop transformative technologies to treat a broad spectrum of musculoskeletal conditions—including multi-tissue healing challenges and complex traumatic injuries.
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Jason Yeatman
Associate Professor of Pediatrics (Developmental-Behavioral Pediatrics), of Education and of Psychology
BioDr. Jason Yeatman is an Associate Professor in the Graduate School of Education and Department of Psychology at Stanford University and the Division of Developmental and Behavioral Pediatrics at Stanford University School of Medicine. Dr. Yeatman completed his PhD in Psychology at Stanford where he studied the neurobiology of literacy and developed new brain imaging methods for studying the relationship between brain plasticity and learning. After finishing his PhD, he took a faculty position at the University of Washington’s Institute for Learning and Brain Sciences before returning to Stanford.
As the director of the Brain Development and Education Lab, Reading & Dyslexia Research Program, and Rapid Online Assessment of Reading, the overarching goal of his research is to understand the mechanisms that underlie the process of learning to read, how these mechanisms differ in children with dyslexia, and to design literacy intervention programs that are effective across the wide spectrum of learning differences. His lab employs a collection of structural and functional neuroimaging measurements to study how a child’s experience with reading instruction shapes the development of brain circuits that are specialized for this unique cognitive function. -
David C. Yeomans
Emeritus Faculty, Acad Council, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsPhysiology of different pain types; Biomarkers of pain and inflammation; Gene Therapy for Pain
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Jerome Yesavage
Jared and Mae Tinklenberg Professor and Professor, by courtesy, of Neurology and Neurological Sciences
Current Research and Scholarly InterestsWe study cognitive processes and aging in our research center. Studies range from molecular biology to neuropsychology of cognitive processes.
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Serena Yeung-Levy
Assistant Professor of Biomedical Data Science and, by courtesy, of Electrical Engineering and of Computer Science
BioDr. Serena Yeung-Levy is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.
Dr. Yeung-Levy leads the Medical AI and Computer Vision Lab at Stanford. She is affiliated with the Stanford Artificial Intelligence Laboratory, the Clinical Excellence Research Center, and the Center for Artificial Intelligence in Medicine & Imaging. She is also a Chan Zuckerberg Biohub Investigator and has served on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence. -
Jong H. Yoon
Professor of Psychiatry and Behavioral Sciences (Public Mental Health & Population Sciences)
Current Research and Scholarly InterestsMy research seeks to discover the brain mechanisms responsible for schizophrenia and to translate this knowledge into the clinic to improve how we diagnose and treat this condition. Towards these ends, our group has been developing cutting-edge neuroimaging tools to identify neurobiological abnormalities and test novel systems-level disease models of psychosis and schizophrenia directly in individuals with these conditions.
We have been particularly interested in the role of neocortical-basal ganglia circuit dysfunction. A working hypothesis is that some of the core symptoms of schizophrenia are attributable to impairments in neocortical function that results in disconnectivity with components of the basal ganglia and dysregulation of their activity. The Yoon Lab has developed new high-resolution functional magnetic resonance imaging methods to more precisely measure the function of basal ganglia components, which given their small size and location deep within the brain has been challenging. This includes ways to measure the activity of nuclei that store and control the release of dopamine throughout the brain, a neurochemical that is one of the most important factors in the production of psychosis in schizophrenia and other neuropsychiatric conditions. -
Kyan Younes, MD
Clinical Assistant Professor, Adult Neurology
BioDr. Younes is a fellowship-trained, board-certified neurologist and a clinical assistant professor in the Department of Neurology at Stanford University School of Medicine.
His areas of expertise include the diagnosis and treatment of Alzheimer’s disease, frontotemporal dementia, primary progressive aphasia, Lewy body dementia, normal pressure hydrocephalus and cognitive and behavioral impairments. For each patient, Dr. Younes develops a personalized plan of care. A plan may include his close collaboration with experts from psychiatry, nursing, pharmacy, genetic counseling, and other specialties. His goal is to ensure that each patient receives care that is both comprehensive and compassionate.
To help lead advances and innovations in his field, Dr. Younes conducts extensive research. He is studying the clinical, neuropsychological, socioemotional, genetic, and pathological features when a patient experiences degeneration of the right anterior temporal lobe area of the brain. This disorder can affect a person’s ability to process emotions and person-specific knowledge.
He also is researching how multimodal brain imaging, including magnetic resonance imaging (MRI) and Positron Emission Tomography (PET) combined with machine learning can help improve the detection of neurodegenerative diseases. In other research, he has participated in clinical trials of new drug therapies for Alzheimer’s disease.
Dr. Younes has presented research findings at meetings of the American Neurological Association, American Academy of Neurology, and American Psychiatric Association. Topics have included predictors of cognitive performance in dementia.
He has co-authored research articles published in the American Journal of Psychiatry, Annals of Clinical and Translational Neurology, Journal of Neuroimaging, and elsewhere. Subjects of these articles have included guidelines for diagnosing the effects of right anterior temporal lobe degeneration on behavior, treatment for symptoms of encephalitis, and the impact of mild traumatic brain injury on healthy older adults.
Dr. Younes has written chapters on frontotemporal dementia for Psychiatric Clinics as well as the epilepsy, coma, acute ischemic stroke, meningitis and encephalitis chapters for the textbook The Little Black Book of Neurology.
He is a member of the American Academy of Neurology, American Neurological Association, Alzheimer’s Association, and International Society for Frontotemporal Dementias. -
Greg Zaharchuk
Professor of Radiology (Neuroimaging and Neurointervention)
Current Research and Scholarly InterestsImproving medical image value using AI
Stroke and dementia imaging
Outcome prediction with AI
Imaging of cerebral hemodynamics with MRI and CT
Noninvasive oxygenation measurement with MRI
PET/MRI in Neuroradiology
Resting-state fMRI for perfusion imaging and stroke
