Dr. Beth Darnall

Professor

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Biography

Beth Darnall is a clinical pain psychologist and scientist dedicated to developing and investigating brief, scalable interventions for acute and chronic pain relief. She is a Professor of Anesthesiology and Perioperative Pain Medicine at Stanford University School of Medicine, where she directs the Stanford Pain Relief Innovations Lab. With extensive funding from NIDA, she leads multiple NIH-funded trials involving over 3,200 participants to evaluate effective pain treatment paradigms. Darnall's research emphasizes patient-centered outcomes and the need for innovative behavioral pain treatments that are accessible to all. Her pioneering program, Empowered Relief, has been widely adopted both nationally and internationally. Darnall has contributed to the national dialogue on opioid crises, providing testimony to Congress and serving on various professional committees, including the NIH Interagency Pain Research Coordinating Committee. Her work has been recognized with prestigious awards and has received extensive media coverage. Darnall is also involved in teaching and mentoring junior investigators in the field of pain management.

Research Interests

Experience

Professor

2015-01-01 — Present

Stanford University School of Medicine • Stanford, CA

Conducts research and teaches in the field of Pain Management.

Awards

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Mayday Fellow

2024-01-01
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Distinguished Service Award

2022-01-01

Courses

ANES 199 ANES 280 ANES 299 ANES 370 ANES 399

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.