Dr. Cristin Runfola

Professor

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Biography

Cristin Runfola specializes in treatment research for eating disorders, focusing on the epidemiology of dysregulated eating and weight concerns among underserved populations. She is notably engaged in developing and testing the efficacy of clinical interventions aimed at improving outcomes for eating disorders. Her work includes protocols for delivering therapy in individual and couple-based formats, as well as through online and video-conferencing platforms. She has co-developed couple-based interventions for eating disorders and founded a peer support and educational initiative. As a lead principal investigator, she has piloted virtual reality-based cue exposure therapy for binge eating. In addition to her clinical work, Cristin teaches graduate courses and is actively involved in advocacy, holding leadership positions within the Academy for Eating Disorders. She has co-authored numerous peer-reviewed articles and has presented her work both nationally and internationally, showcasing her dedication to the field and her commitment to advancing treatment options for those affected by eating disorders.

Research Interests

Experience

Clinical Professor

— Present

Stanford University • Palo Alto, CA

Cristin conducts clinical research and teaches graduate courses, focusing on eating disorders and couple-based interventions.

Awards

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Chairman’s Award Clinical Innovation Service

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Clinician Scholarship 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.