Dr. Nina Vasan

Assistant Professor

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Biography

Nina Vasan, MD, MBA, is a Clinical Assistant Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University. She is an expert in digital well-being and AI safety, with extensive involvement in developing mental health innovation strategies. As the Founder and Director of Brainstorm: Stanford Lab for Mental Health Innovation, Dr. Vasan has influenced the design of mental health products for major technology companies like Pinterest and TikTok. Her initiatives focus on creating frameworks for healthy AI and reducing harmful digital behaviors. Vasan has authored a bestselling book on social innovation and is a recognized leader in the intersection of psychiatry and technology, having founded the American Psychiatric Association's Innovation Lab. Her work encompasses research on the ethics of large language models and their application in mental health, as well as consulting for organizations including the United Nations. Dr. Vasan's contributions extend to public discourse, where she has been quoted in leading outlets and has delivered numerous keynote lectures across various conferences.

Research Interests

Experience

Clinical Assistant Professor

2018-01-01 — Present

Stanford University • Palo Alto, California

Teaching and conducting research in the fields of psychiatry and behavioral sciences.

Chief Medical Officer

— Present

Real • Silicon Valley

Reimagining mental health care by providing on-demand digital services.

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.