School of Medicine
Showing 1-10 of 34 Results
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Fiona Barwick
Clinical Associate Professor, Psychiatry and Behavioral Sciences - Stanford Center for Sleep Sciences and Medicine
Current Research and Scholarly InterestsResearch interests focus on expanding sleep education, improving sleep health, optimizing treatment for circadian rhythm disorders, and adapting treatment for insomnia in populations where developmental, medical, psychiatric and cultural factors intersect.
Current research projects include developing and piloting integrated protocols for treating sleep problems that co-occur with medical conditions such as chronic pain or POTS. Ongoing collaborations include delivery of a CBTI protocol in Mandarin via telehealth to patients at Chongqing Traditional Chinese Medicine Hospital in China. Past projects include investigation of the link between RLS and the gut microbiome and a survey of student sleep health. -
Michelle Thi Cao
Clinical Associate Professor, Neurology & Neurological Sciences
Clinical Associate Professor, Psychiatry and Behavioral Sciences - Stanford Center for Sleep Sciences and MedicineCurrent Research and Scholarly InterestsPositive Airway Pressure devices for central sleep apnea
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Robson Capasso, MD
Associate Professor of Otolaryngology - Head & Neck Surgery (OHNS) and, by courtesy, of Psychiatry and Behavioral Sciences (Sleep Medicine) at the Stanford University Medical Center
Current Research and Scholarly InterestsClinically relevant outcomes for OSA Surgery.
Wearables and Digital Health Technologies for Sleep.
Innovative approaches for OSA Management.
Innovation in Sleep and Otolaryngology -
Emmanuel During, MD
Clinical Associate Professor, Psychiatry and Behavioral Sciences - Stanford Center for Sleep Sciences and Medicine
Clinical Associate Professor, Neurology & Neurological SciencesCurrent Research and Scholarly InterestsImproving 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