CAP Profiles

School of Medicine

Showing 1-8 of 8 Results

  • John W. Day, MD, PhD

    John W. Day, MD, PhD

    Professor of Neurology, of Pediatrics (Genetics) and, by courtesy, of Pathology at the Stanford University Medical Center

    Current Research and Scholarly Interests Our Neuromuscular Division coordinates a comprehensive effort to conquer peripheral nerve and muscle disorders, including the muscular dystrophies, motor neuron disorders, neuromuscular junction abnormalities, and peripheral neuropathies. With patients and families foremost in mind, we have had success defining and combating these diseases, with research focused on identifying genetic causes, developing novel treatment, and maximizing patient function by optimizing current management.

  • Antoine de Morree

    Antoine de Morree

    Instructor, Neurology & Neurological Sciences

    Current Research and Scholarly Interests Molecular mechanisms underlying neuromuscular disorders and the molecular regulation of satellite cell quiescence and activation in relation to normal aging.

  • Danielle DeSouza

    Danielle DeSouza

    Instructor, Neurology & Neurological Sciences

    Bio My research focuses on the use of neuroimaging methods to understand brain structure and function and treatment-related plasticity in individuals with chronic pain. Current projects focus on basic mechanisms and biomarkers underlying chronic headache subtypes using multimodal brain imaging and deep phenotyping and repetitive transcranial magnetic stimulation to augment pain and hypnotizability. Additionally, I am interested in understanding the central mechanisms of chronic pain associated with Lyme disease.

    Teaching roles include Co-Director for the Neuroscience, Behavior, and Cognition (NBC) Scholarly Concentration, part of a required structured program of study in the medical student curriculum that promotes in depth learning and scholarship, and Instructor for ANES 215, a required course in the Department of Anesthesia for medical students enrolled in the NBC Scholarly Concentration.

  • Jun Ding

    Jun Ding

    Assistant Professor of Neurosurgery and of Neurology

    Current Research and Scholarly Interests Neural circuits of movement control in health and movement disorders

  • Les Dorfman, MD

    Les Dorfman, MD

    Professor of Neurology and Neurological Sciences, Emeritus

    Current Research and Scholarly Interests Clinical electrophysiology of the peripheral and central nervous systems, including nerve conduction velocity; electromyography (EMG); and visual, auditory and somatosensory evoked potentials. Multiple sclerosis (MS) diagnosis and treatment. Neurological education.

  • Dawn Duane

    Dawn Duane

    Clinical Associate Professor, Neurology & Neurological Sciences

    Current Research and Scholarly Interests I am a general pediatric neurologist. My interest is in clinical diagnosis and treatment of common neurologic diseases in pediatric patients and teaching feature doctors, neurologists and pediatric neurologists about pediatric neurology.

  • Jeffrey Dunn, MD

    Jeffrey Dunn, MD

    Clinical Professor, Neurology & Neurological Sciences

    Current Research and Scholarly Interests Translational research in the human application of emerging immunotherapies for neurological disease, focusing on Multiple Sclerosis, CIS, transverse myelitis and Neuromyelitis Optica (NMO). Collaborative research with Stanford and extramural scientific faculty to identify biomarkers of disease activity and treatment response in humans. Clinical trials to assess efficacy of emerging treatments for MS, CIS and NMO.

  • Emmanuel During

    Emmanuel During

    Clinical Assistant Professor, Psychiatry and Behavioral Sciences - Stanford Center for Sleep Sciences and Medicine

    Current Research and Scholarly Interests Improving diagnostics and therapeutics in RBD, using home ambulatory devices including wearable actigraphy, dry-EEG, to power clinical trials based on objective outcomes of RBD activity.

    Controlling symptoms of RBD testing drugs rigorously.

    Predicting the course of neurodegeneration using deep phenotyping using clinical and serum biomarkers, measures of autonomic impairment, skin biopsy, microbiome