Wu Tsai Neurosciences Institute


Showing 1-10 of 36 Results

  • Nicholas Haber

    Nicholas Haber

    Assistant Professor of Education

    Current Research and Scholarly InterestsI use AI models of of exploratory and social learning in order to better understand early human learning and development, and conversely, I use our understanding of early human learning to make robust AI models that learn in exploratory and social ways. Based on this, I develop AI-powered learning tools for children, geared in particular towards the education of those with developmental issues such as the Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder, in the mold of my work on the Autism Glass Project. My formal graduate training in pure mathematics involved extending partial differential equation theory in cases involving the propagation of waves through complex media such as the space around a black hole. Since then, I have transitioned to the use of machine learning in developing both learning tools for children with developmental disorders and AI and cognitive models of learning.

  • Scott S. Hall, Ph.D

    Scott S. Hall, Ph.D

    Professor of Psychiatry and Behavioral Sciences (Child and Adolescent Psychiatry and Child Development)

    Current Research and Scholarly InterestsMy primary area of scholarly and clinical interest is the pathogenesis of problem behaviors shown by individuals diagnosed with intellectual and developmental disabilities (IDD), particularly those with neurogenetic forms of IDD, such as fragile X syndrome, Cornelia de Lange syndrome and Prader-Willi syndrome. My work aims to both advance understanding of these disorders and to identify effective new treatment approaches for pediatric and adult patient populations by state-of-the-art methodologies, such as brain imaging, eye tracking and functional analysis to determine how environmental and biological factors affect the development of aberrant behaviors in these syndromes. The end goal of my research is to create patient-specific methods for treating the symptoms of these disorders.

  • Joachim Hallmayer

    Joachim Hallmayer

    Professor of Psychiatry and Behavioral Sciences (Child and Adolescent Psychiatry and Child Development)
    On Partial Leave from 09/01/2024 To 08/31/2026

    Current Research and Scholarly InterestsPrincipal Investigator
    Infrastructure to facilitate discovery of autism genes
    The purpose of this project is to facilitate the discovery of the genes that contribute autism by maintaining an infrastructure which research groups studying the genetics of autism can work collaboratively. This will be
    accomplished through workshops, a Virtual Private Network, and access to a database that includes phenotype and genotype data from all participating groups.

    Principal Investigator
    A California Population-Based Twin Study of Autism
    This will address several fundamental questions: (1) What is the heritability of autism (2) What is the contribution of genetic factors to variation in symptom dimensions? (3) Is there a continuum between the quantitative neurocognitive traits and clinical disorder? (4) What proportion of the variance in the neurocognitive traits is accounted for by genetic and non-genetic factors?

    Co-Investigator
    Center for Integrating Ethics in Genetics Research(Cho)
    The goal of this project is to serve as a center of excellence in neurogenetics research, to develop a national model for bench, to bedside research ethics consultation, and to provide training opportunity in biomedical ethics.

    Co-Investigator
    Gene, Brain and Behavior in Turner Syndrome(Reiss)
    The primary objective of this project is to use advanced, multi-modal magnetic resonance imaging (MRI) techniques, analyses of X chromosome parent-of-origin and cognitive-behavioral assessment to elucidate the effects of monosomy and X-linked imprinting on neurodevelopment and neural function in a large cohort of young girls with Turner syndrome, pre-estrogen replacement.

    Project Director
    Project F: Genomic Analysis in narcolepsy cataplexy
    The goal of the project is to locate genes outside the HLA region that influence susceptibility to narcolepsy. In order to localize these genes we will carry out a linkage and association study in the most extensive world-wide collection of DNAs from well-characterized patients with narcolepsy and their families.

  • May Han, MD

    May Han, MD

    Associate Professor of Neurology and Neurological Sciences (Adult Neurology)
    On Leave from 10/01/2024 To 04/30/2025

    Current Research and Scholarly InterestsMultiple sclerosis
    Neuromyelitis optica
    Autoimmune CNS disorders

  • Antonio Hardan, M.D.

    Antonio Hardan, M.D.

    Professor of Psychiatry and Behavioral Sciences

    Current Research and Scholarly InterestsThe neurobiology of autism
    Neuroimaging in individuals with autism
    Psychopharmacological treatment of children and adults with autism and/or developmental disorders
    The neurobiology and innovative interventions of several neurogenic disorders including DiGeorge Syndrome (Velocardiofacial syndrome; 22q11.2 mutations), PTEN mutations, and Phelan McDermid Syndrome (22q13 mutations).

  • Keren Haroush

    Keren Haroush

    Assistant Professor of Neurobiology

    Current Research and Scholarly InterestsOur laboratory studies the mechanisms by which highly complex behaviors are mediated at the neuronal level, mainly focusing on the example of dynamic social interactions and the neural circuits that drive them. From dyadic interactions to group dynamics and collective decision making, the lab seeks a mechanistic understanding for the fundamental building blocks of societies, such as cooperation, empathy, fairness and reciprocity.

  • James Harris

    James Harris

    James and Elenor Chesebrough Professor in the School of Engineering, Emeritus

    BioHarris utilizes molecular beam epitaxy (MBE) of III-V compound semiconductor materials to investigate new materials for electronic and optoelectronic devices. He utilizes heterojunctions, superlattices, quantum wells, and three-dimensional self-assembled quantum dots to create metastable engineered materials with novel or improved properties for electronic and optoelectronic devices. His early work in the 1970's demonstrating a practical heterojunction bipolar transistor led to their application in every mobile phone today and record setting solar cell efficiency. He has recently focused on three areas: 1) integration of photonic devices and micro optics for creation of new minimally invasive bio and medical systems for micro-array and neural imaging and 2) application of nanostructures semiconductors for the acceleration of electrons using light, a dielectric Laser Accelerator (DLA), and 3) novel materials and nano structuring for high efficiency solar cells and photo electrochemical water splitting for the generation of hydrogen.

  • Trevor Hastie

    Trevor Hastie

    John A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences

    Current Research and Scholarly InterestsFlexible statistical modeling for prediction and representation of data arising in biology, medicine, science or industry. Statistical and machine learning tools have gained importance over the years. Part of Hastie's work has been to bridge the gap between traditional statistical methodology and the achievements made in machine learning.

  • Melanie Hayden Gephart

    Melanie Hayden Gephart

    Professor of Neurosurgery and, by courtesy, of Neurology and Neurological Sciences

    BioI am a brain tumor neurosurgeon, treating patients with malignant and benign tumors, including gliomas, brain metastases, meningiomas, and schwannomas. I direct the Stanford Brain Tumor Center and the Stanford Brain Metastasis Consortium, collaborative unions of physicians and scientists looking to improve our understanding and treatment of brain tumors. My laboratory seeks greater understanding of the mechanisms driving tumorigenesis and disease progression in malignant brain tumors. We study how rare cancer cell populations survive and migrate in the brain, inadvertently supported by native brain cells. We develop novel cerebrospinal fluid-based biomarkers to track brain cancer treatment response, relapse, and neurotoxicity. Our bedside-to-bench-to-bedside research model builds on a foundation of generously donated patient samples, where we test mechanisms of brain cancer growth, develop novel pre-clinical models that reliably recapitulate the human disease, and facilitate clinical trials of new treatments for patients with brain cancer.

    www.GephartLab.com
    www.GBMseq.org
    https://stan.md/BrainMets
    @HaydenGephartMD