Dr. Emily Moore

Assistant Professor

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Biography

Emily Moore is a Clinical Instructor in the Department of Anesthesiology, Perioperative Pain Medicine at Stanford University School of Medicine. She specializes in assisting individuals in navigating pain, finding fulfillment, and harnessing motivation to flourish in their lives. Dr. Moore earned her Ph.D. in Clinical Psychology from McGill University, where she conducted research on the role of psychosocial variables in pain-related disability and goal achievement. After completing a pain psychology internship at the Alan Edwards Pain Management Center in Montreal, Canada, her desire to build expertise in the biopsychosocial treatment of chronic pain led her to undertake the Stanford Clinical Pain Psychology Fellowship. During this fellowship, she received specialized training in treating a wide range of chronic pain presentations and co-developed a group intervention for migraine. Dr. Moore has also established a private practice focusing on individuals with co-occurring physical and mental health challenges. Concurrently, she has collaborated on research projects aimed at optimizing psychological interventions for chronic pain in group formats. Dr. Moore's work aims to integrate research with clinical theory to develop individualized treatment plans that meet unique patient needs.

Research Interests

Experience

Clinical Instructor

2021-01-01 — Present

Stanford University School of Medicine • Stanford, CA

Instructor in the Department of Anesthesiology, focusing on chronic pain management and psychological interventions.

Awards

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Health System Impact Fellowship

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Vanier Canada Graduate Scholarship

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Frederick Banting Charles Canada Graduate Scholarship-Master's

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.