Dr. Abdullah Qatu

Assistant Professor

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Biography

Dr. Qatu is a board-certified, fellowship-trained pain management specialist at Stanford Health Care Pain Management Center. He holds the position of Clinical Assistant Professor in the Department of Anesthesiology, Perioperative Pain Medicine at Stanford University School of Medicine. Dr. Qatu specializes in the diagnosis and management of various types of pain, including nerve pain, joint pain, cancer pain, and low back and neck pain. He obtained his medical degree from New York University (NYU) Grossman School of Medicine, where he also completed his residency in anesthesiology after an internship in general surgery. He subsequently finished a pain medicine fellowship at Stanford University. Dr. Qatu employs a multimodal approach to pain management, which encompasses interventional, pharmacological, rehabilitative, and psychological strategies. His proficiency includes a range of interventional modalities, such as injections, epidurals, nerve blocks, radiofrequency ablations, peripheral nerve stimulation, spinal cord/dorsal root ganglion stimulation, and minimally invasive decompression. His research centers on the clinical use of neuromodulation for different types of pain and explores demographic and socioeconomic variables related to outcomes in orthopedic trauma surgeries. Dr. Qatu has presented his research at various conferences in the U.S. and Canada.

Research Interests

Experience

Clinical Assistant Professor

2023-01-01 — Present

Stanford University • Stanford, CA

Clinical Assistant Professor in the Department of Anesthesiology, focusing on pain management.

Awards

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Meritorious Award

2017-01-01

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.