Wu Tsai Neurosciences Institute


Showing 541-560 of 561 Results

  • Daniel Yamins

    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

    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.

  • Yanmin Yang

    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.

  • Yunzhi Peter Yang

    Yunzhi Peter Yang

    Professor of Orthopaedic Surgery and, by courtesy, of Materials Science and Engineering and of Bioengineering

    Current Research and Scholarly InterestsYang’ lab's research interests are in the areas of bio-inspired biomaterials, medical devices, and 3D printing approaches for re-creating a suitable microenvironment for cell growth and tissue regeneration for musculoskeletal disease diagnosis and treatment, including multiple tissue healing such as rotator cuff injury, orthopedic diseases such as osteoporosis and osteonecrosis, and orthopedic traumas such as massive bone and muscle injuries.

  • Jason Yeatman

    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, 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

    David C. Yeomans

    Associate Professor of Anesthesiology, Perioperative and Pain Medicine, Emeritus

    Current Research and Scholarly InterestsPhysiology of different pain types; Biomarkers of pain and inflammation; Gene Therapy for Pain

  • Jerome Yesavage

    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.

  • Serena Yeung-Levy

    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

    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.

  • Greg Zaharchuk

    Greg Zaharchuk

    Professor of Radiology (Neuroimaging and Neurointervention)

    Current Research and Scholarly InterestsImproving medical image quality using deep learning artificial intelligence
    Imaging of cerebral hemodynamics with MRI and CT
    Noninvasive oxygenation measurement with MRI
    Clinical imaging of cerebrovascular disease
    Imaging of cervical artery dissection
    MR/PET in Neuroradiology
    Resting-state fMRI for perfusion imaging and stroke

  • Natalie M. Zahr

    Natalie M. Zahr

    Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Major Laboratories)

    BioNatalie M. Zahr received a graduate education in the basic sciences including the study of neuro- pharmacology, physiology, and anatomy. After completing her graduate training in electrophysiology, she began a postdoctoral fellowship as a magnetic resonance imaging (MRI) scientist. Her work focuses on translational approaches using in vivo MR imaging and spectroscopy in studies of human with Alcohol Use Disorders (AUD) and in rodent models of alcohol exposure with the goal of identifying mechanisms of alcohol effects on the brain. Her human studies include participants with HIV, those co-morbid for HIV and AUD and recently, aging individuals with mild cognitive impairment (MCI). Her position allows her to explore emerging MR technologies and apply them to test relevant hypotheses. Before joining Stanford, she taught at several local institutions including UC Berkeley extension and Santa Clara University where she enjoyed sharing her knowledge and enthusiasm for learning with students.

  • Jamil Zaki

    Jamil Zaki

    Professor of Psychology

    Current Research and Scholarly InterestsMy research focuses on the cognitive and neural bases of social behavior, and in particular on how people respond to each other's emotions (empathy), why they conform to each other (social influence), and why they choose to help each other (prosociality).

  • Richard Zare

    Richard Zare

    Marguerite Blake Wilbur Professor of Natural Science and Professor, by courtesy, of Physics
    On Leave from 10/01/2024 To 12/31/2024

    Current Research and Scholarly InterestsMy research group is exploring a variety of topics that range from the basic understanding of chemical reaction dynamics to the nature of the chemical contents of single cells.

    Under thermal conditions nature seems to hide the details of how elementary reactions occur through a series of averages over reagent velocity, internal energy, impact parameter, and orientation. To discover the effects of these variables on reactivity, it is necessary to carry out studies of chemical reactions far from equilibrium in which the states of the reactants are more sharply restricted and can be varied in a controlled manner. My research group is attempting to meet this tough experimental challenge through a number of laser techniques that prepare reactants in specific quantum states and probe the quantum state distributions of the resulting products. It is our belief that such state-to-state information gives the deepest insight into the forces that operate in the breaking of old bonds and the making of new ones.

    Space does not permit a full description of these projects, and I earnestly invite correspondence. The following examples are representative:

    The simplest of all neutral bimolecular reactions is the exchange reaction H H2 -> H2 H. We are studying this system and various isotopic cousins using a tunable UV laser pulse to photodissociate HBr (DBr) and hence create fast H (D) atoms of known translational energy in the presence of H2 and/or D2 and using a laser multiphoton ionization time-of-flight mass spectrometer to detect the nascent molecular products in a quantum-state-specific manner by means of an imaging technique. It is expected that these product state distributions will provide a key test of the adequacy of various advanced theoretical schemes for modeling this reaction.

    Analytical efforts involve the use of capillary zone electrophoresis, two-step laser desorption laser multiphoton ionization mass spectrometry, cavity ring-down spectroscopy, and Hadamard transform time-of-flight mass spectrometry. We believe these methods can revolutionize trace analysis, particularly of biomolecules in cells.

  • Michael Zeineh

    Michael Zeineh

    Associate Professor of Radiology (Neuroimaging and Neurointervention)

    BioDr. Michael Zeineh received a B.S. in Biology at Caltech in 1995 and obtained his M.D.-Ph.D. from UCLA in 2003. After internship also at UCLA, he went on to radiology residency and neuroradiology fellowship both at Stanford. He has been faculty in Stanford Neuroradiology since 2010. He spearheads many initiatives in advanced clinical imaging at Stanford, including clinical fMRI and DTI. Simultaneously, he runs a lab with the goal of discovering new imaging abnormalities in neurodegenerative disorders, with a focus on detailed microcircuitry in regions such as the hippocampal formation using advanced, multi-modal in vivo and ex vivo methods, with applications to neurodegenerative disorders such as Alzheimer’s disease and mild traumatic brain injury.

  • Jamie Zeitzer

    Jamie Zeitzer

    Professor (Research) of Psychiatry and Behavioral Sciences (Sleep Medicine)

    Current Research and Scholarly InterestsDr. Zeitzer is a circadian physiologist specializing in the understanding of the impact of light on circadian rhythms and other aspects of non-image forming light perception.
    He examines the manner in which humans respond to light and ways to manipulate this responsiveness, with direct application to jet lag, shift work, and altered sleep timing in teens. Dr. Zeitzer has also pioneered the use of actigraphy in the determination of epiphenomenal markers of psychiatric disorders.

  • Heng Zhao

    Heng Zhao

    Member, Wu Tsai Neurosciences Institute

    Current Research and Scholarly InterestsMy lab is focused on developing novel therapeutic methods against stroke using rodent models. We study protective effect of postconditioning, preconditioning and mild hypothermia. The rationale for studying three means of neuroprotection is that we may discover mechanisms that these treatments have in common. Conversely, if they have differing mechanisms, we will be able to offer more than one treatment for stroke and increase a patient’s chance for recovery.

  • Renee Zhao

    Renee Zhao

    Assistant Professor of Mechanical Engineering and, by courtesy, of Materials Science and Engineering

    BioRuike Renee Zhao is an Assistant Professor of Mechanical Engineering at Stanford University where she directs the Soft Intelligent Materials Laboratory. Renee received her BS degree from Xi'an Jiaotong University in 2012, and her MS and PhD degrees from Brown University in 2014 and 2016, respectively. She was a postdoc associate at MIT during 2016-2018 prior to her appointment as an Assistant Professor in the Department of Mechanical and Aerospace Engineering at The Ohio State University from 2018 to 2021.

    Renee’s research focuses on the development of stimuli-responsive soft composites for multifunctional robotic systems with integrated shape-changing, assembling, sensing, and navigation. By combining mechanics, polymer engineering, and advanced material manufacturing techniques, the functional soft composites enable applications in soft robotics, miniaturized biomedical devices, flexible electronics, and deployable and morphing structures.

    Renee is a recipient of the ARO Early Career Program (ECP) Award (2023), AFOSR Young Investigator Research Program (YIP) Award (2023), Eshelby Mechanics Award for Young Faculty (2022), ASME Henry Hess Early Career Publication Award (2022), ASME Pi Tau Sigma Gold Medal (2022), ASME Applied Mechanics Division Journal of Applied Mechanics Award (2021), NSF Career Award (2020), and ASME Applied Mechanics Division Haythornthwaite Research Initiation Award (2018).

  • Xiaolin Zheng

    Xiaolin Zheng

    Professor of Mechanical Engineering, of Energy Science Engineering and, by courtesy, of Materials Science and Engineering

    BioProfessor Zheng received her Ph.D. in Mechanical & Aerospace Engineering from Princeton University (2006), B.S. in Thermal Engineering from Tsinghua University (2000). Prior to joining Stanford in 2007, Professor Zheng did her postdoctoral work in the Department of Chemistry and Chemical Biology at Harvard University. Professor Zheng is a member of MRS, ACS and combustion institute. Professor Zheng received the TR35 Award from the MIT Technology Review (2013), one of the 100 Leading Global Thinkers by the Foreign Policy Magazine (2013), 3M Nontenured Faculty Grant Award (2013), the Presidential Early Career Award (PECASE) from the white house (2009), Young Investigator Awards from the ONR (2008), DARPA (2008), Terman Fellowship from Stanford (2007), and Bernard Lewis Fellowship from the Combustion Institute (2004).

  • James Zou

    James Zou

    Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering

    Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.

    We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups.