Dr. Jason Tucciarone

Assistant Professor

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Biography

Jason Tucciarone is an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine. He is a neuroscientist focusing on the biological mechanisms underlying mental illness, with a particular interest in mood disorders and addiction. His research aims to define new cell types and study the evolutionary conserved circuits involved in emotional processing in the brain. He employs various methodologies including optogenetics and neuroimaging in mouse models to explore brain circuitry related to opioid use disorder and investigates treatment-resistant depression, particularly the combination of buprenorphine and ketamine. Tucciarone has a strong commitment to education, actively participates in clinical supervision, and teaches courses covering topics such as neuroscience, mood disorders, and psychodynamic psychotherapy. His clinical work involves treating patients with a diverse range of psychiatric conditions, including complex presentations at the Neuropsychiatry clinic, and he also leads support groups for medical interns and residents. He has received multiple awards recognizing his research contributions and commitment to mentorship within the field of psychiatry.

Research Interests

Experience

Assistant Professor

2021-07-01 — Present

Stanford University School of Medicine • Stanford, CA

Leads research in the Department of Psychiatry and Behavioral Sciences focusing on mental illness and treatment-resistant conditions.

Awards

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NARSAD Young Investigator Award

#2024

Innovator Grant

#2025

American College of Neuropsychopharmacology Travel Award

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.