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Andrea N Goldstein
Assistant Professor (Research), Psychiatry and Behavioral Sciences - Sleep Medicine
Member, Bio-X
Member, Wu Tsai Human Performance Alliance
Member, Maternal & Child Health Research Institute (MCHRI)
Member, Wu Tsai Neurosciences Institute
PhD, University of California Berkeley, Neuroscience/Psychology (2014)
BS, University of California San Diego, Cognitive Science (2006)
BS, University of California San Diego, Psychology (2006)
Affiliation:
Committee:
Dr. 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.
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.