Dr. David Hong

Associate Professor

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Biography

David S. Hong is an Associate Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University. His research and clinical work focus on child and adolescent psychiatry, emphasizing the integration of developmental and cognitive frameworks in understanding psychiatric conditions. Dr. Hong's lab investigates the genetic and hormonal influences underlying sex differences in child psychiatric disorders, with a special focus on how these differences affect phenomenology, course, and treatment of mental health issues. He employs innovative neuroimaging and multiomic approaches to provide insights into the biological mechanisms behind sex-specific effects on psychiatric diseases. As co-director of the Mental Health Technology Innovation Hub, he is dedicated to advancing mobile mental health resources and improving access to effective mental health care. His clinical interests include utilizing telehealth design specifically for youth psychotherapy, allowing for greater accessibility in therapeutic settings. Dr. Hong is committed to mentorship and education, guiding trainees in both research and clinical practices within the field of psychiatry.

Research Interests

Experience

Associate Professor

— Present

Stanford University • Stanford, California

Teaching and conducting research in child and adolescent psychiatry while supervising trainees.

Co-Director

— Present

Mental Health Technology Innovation Hub • Stanford, California

Leading initiatives to develop mental health resources leveraging technology.

Chief

— Present

Division of Interdisciplinary Brain Sciences • Stanford, California

Overseeing the division focused on interdisciplinary research in brain sciences.

Courses

PSYC 299 PSYC 399 SYMSYS 196 SYMSYS 296 SYMSYS 290 PSYC 370 PSYC 290 PSYC 199 PSYC 211

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.