School of Medicine


Showing 11-20 of 47 Results

  • 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.

  • Phillip M. Harter, M.D.

    Phillip M. Harter, M.D.

    Associate Professor (Teaching) of Emergency Medicine, Emeritus

    Current Research and Scholarly InterestsMedical Education, particularly the role of simulation (part-task trainers, human patient simulators and virtual reality) in the education of medical students and residents. Also, the use of the internet for distance learning in health care professions.

  • Trevor Hastie

    Trevor Hastie

    John A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences
    On Partial Leave from 01/01/2024 To 03/31/2024

    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

    BioI am a brain tumor neurosurgeon, treating patients with primary and metastatic brain tumors. I treat patients with malignant and benign tumors, including glioma, brain metastases, meningioma, and vestibular 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 cell free nucleic acid 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

  • John P. Hegarty II

    John P. Hegarty II

    Clinical Assistant Professor, Psychiatry and Behavioral Sciences

    BioI am a neuroscientist and Principal Investigator of the Stanford Clinical Neuroscience (CNS) Lab in the Department of Psychiatry and Behavioral Sciences as well as Director of Neuroimaging for the Autism and Developmental Disorders Research Program at Stanford. My innovative research studies clinical aspects of cognitive and behavioral neuroscience, with a special focus on examining the neural circuitry associated with important brain-behavior relationships that may underlie different psychological and psychiatric domains in autistic children, adolescents, and adults. The ultimate goal of this research is to improve our understanding of the development of different cognitive and behavioral skills in order to develop mechanistically driven interventions that will improve precision medicine for mental health. Biologically based diagnosis and treatment are extremely limited for most psychological and psychiatric conditions but also critically needed to increase early identification and improve treatment outcomes, especially for neurodevelopmental disorders in which early intervention is the most beneficial. My early career research has primarily focused on clinical neuroscience using neuroimaging (e.g., MRI & EEG) to examine the effects of different drugs and behavioral interventions on the brain, especially for developing biomarkers for improving treatment planning and monitoring biological changes in response to single dose and clinical trials.

    My primary contributions to science thus far fall within these major categories: 1) identifying the neural correlates of individual differences in cognition and behavior, 2) developing new interventions and investigating the neurobiological substrates of response to treatment, 3) examining different factors that contribute to brain development, 4) summarizing and increasing accessibility to autism-related research, and 5) methods development for neuroimaging studies. My earliest research investigated the neurobiology of alexithymia, dyslexia, and stress using structural and functional magnetic resonance imaging to test theories of the mechanisms that contribute to differences in cognition and behavior. My subsequent dissertation research, in which I began to focus on neurodevelopmental disorders, examined the neural correlates of response to beta-blockers in autistic adults and also assessed the contribution of cerebellar circuits to the autism phenotype. During my postdoctoral training, I have developed further skills for working with children in multiple clinical research settings, especially for using advanced neuroimaging approaches to examine important brain-behavior relationships. This includes a recent K99/R00 from the National Institute of Child Health and Human Development (NCT04278898 & NCT05664789) that will assess the neurobiology of restricted and repetitive behaviors in autistic children and examine the efficacy and target engagement of a novel nutritional supplement and investigational drug, N-acetylcysteine (NAC), in the brain. You can find more information about our NAC studies at https://redcap.link/NACandAutism.

  • Wm. LeRoy Heinrichs

    Wm. LeRoy Heinrichs

    Member, Maternal & Child Health Research Institute (MCHRI)

    Current Research and Scholarly InterestsSurgical simulation; team-training in virtual environments; online training of healthcare providers in virtual environments; tele-medicine for acute & chronic disease management in virtual environments

  • Stefan Heller

    Stefan Heller

    Edward C. and Amy H. Sewall Professor in the School of Medicine and Professor of Otolaryngology - Head & Neck Surgery (OHNS)

    Current Research and Scholarly InterestsOur research focuses on the inner ear, from its earliest manifestation as one of the cranial placodes until it has developed into a mature and functioning organ. We are interested in how the sensory epithelia of the inner ear that harbor the sensory hair cells develop, how the cells mature, and how these epithelia respond to toxic insults. The overarching goal of this research is to find ways to regenerate lost sensory hair cells in mammals.