Stanford University
Showing 321-330 of 616 Results
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Paul Goldschmidt
Affiliate, School of Medicine - MDRP'S - Biodesign Program
BioBachelor of Science - Hamburg University of Applied Sciences
Class Tutor - Experimental Physics
Software Engineer / Student Researcher - Stanford Biodesign Digital Health
Founder, CEO @ Dotreflection GmbH - Startup for large-scale medical communication platforms
Member - Permafrost Young Researchers Network (PYRN)
Member - German Physical Society
Scholar, Spokesperson - German Academic Scholarship Foundation (Studienstiftung des Deutschen Volkes) -
Mary Kane Goldstein
Professor of Health Policy, Emerita
Current Research and Scholarly InterestsHealth services research in primary care and geriatrics: developing, implementing, and evaluating methods for clinical quality improvement. Current work includes applying health information technology to quality improvement through clinical decision support (CDS) integrated with electronic health records; encoding clinical knowledge into computable formats in automated knowledge bases; natural language processing of free text in electronic health records; analyzing multiple comorbidities
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Andrea Goldstein-Piekarski
Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Sleep Medicine)
BioDr. Goldstein-Piekarski directs the Computational Psychiatry, Neuroscience, and Sleep Laboratory (CoPsyN Sleep Lab) as an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine and PI within the Sierra-Pacific Mental Illness Research, Education and Clinical Center (MIRECC) at the Palo Alto VA. She received her PhD in 2014 at the University of California, Berkeley where she studied the consequences of sleep on emotional brain function. She then completed a Postdoctoral fellowship at Stanford focusing on understanding the brain basis of anxiety and depression.
As the director of the CoPsyN Sleep Lab she is developing a translational, interdisciplinary research program that combines human neuroimaging, high-density EEG sleep recording, and computational modeling to understand the neural mechanisms through which sleep disruption contributes to affective disorders, particularly depression, across the lifespan. The ultimate goals of this research are to (1) develop mechanistically-informed interventions that directly target aspects of sleep and brain function to prevent and treat affective disorders and (2) identify novel biomarkers which can identify which individuals are most likely to experience improved mood following targeted sleep interventions.
This work is currently supported by The KLS Foundation, a R01 from National Institute of Mental Health, and a R61 from the National Institute of Mental Health.
