Dr. Andrea Goldstein Piekarski

Assistant Professor

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Biography

Andrea Goldstein-Piekarski directs the Computational Psychiatry, Neuroscience, Sleep Laboratory (CoPsyN Sleep Lab) at Stanford University. She holds the position of Assistant Professor (Research) in the Department of Psychiatry and Behavioral Sciences, focusing on Sleep Medicine. Dr. Goldstein-Piekarski completed her PhD in Neuroscience/Psychology at the University of California, Berkeley in 2014 and has undertaken a Postdoctoral fellowship at Stanford, concentrating on the understanding of brain mechanisms underlying anxiety and depression. Her research program aims to combine human neuroimaging, high-density EEG sleep recording, and computational modeling to uncover the neural mechanisms of sleep disruption that contribute to affective disorders, particularly depression. She strives to develop interventions targeting sleep and brain function to prevent and treat mood disorders and identify biomarkers for predicting responses to these interventions. Dr. Goldstein-Piekarski's work is supported by notable institutions, including the KLS Foundation and the National Institute of Mental Health.

Research Interests

Experience

Assistant Professor (Research)

2016-01-01 — Present

Stanford University • Palo Alto, CA

Directs the Computational Psychiatry, Neuroscience, Sleep Laboratory (CoPsyN Sleep Lab) and conducts interdisciplinary research combining neuroimaging and computational methods.

Awards

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Merit Based Travel Award

2017-01-01
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Merit Based Travel Fellowship Award

2017-01-01
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Seed Grant Recipient

2017-01-01
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NRSA F32

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Merit Based Professional Development Travel Award

2016-01-01
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Clinical Loan Repayment Award

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Seed Grant Recipient

2015-01-01
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Merit Based Trainee Travel Award

2012-01-01
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NRSA F31

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Honorable Mention

2009-01-01

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.