Dr. Ming Kao

Assistant Professor

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Biography

Ming Kao is a Clinical Associate Professor in Anesthesiology at Stanford University. He focuses on pain management and rehabilitation, leveraging his extensive education in molecular biology and biostatistics. Dr. Kao's clinical expertise encompasses a variety of pain-related conditions such as musculoskeletal pain, abdominal pain, and complex regional pain syndromes. He has published over 30 scientific journal articles that cover areas including genetics, genomics, proteomics, artificial intelligence, and epidemiology. In his clinical role, he teaches physicians and trainees about the diagnostic and interventional techniques needed to manage complex pain conditions. His contributions also extend to significant leadership roles within the Stanford Pain Management team, where he has shaped clinical operations and guided research. Dr. Kao has received various awards for his research presentations and contributions to the field, demonstrating a commitment to advancing pain medicine. He is board certified in Physical Medicine and Rehabilitation and Pain Medicine, having completed his postgraduate training at prestigious institutions such as Harvard and Stanford.

Research Interests

Experience

Clinical Associate Professor

2015-01-01 — Present

Stanford University • Stanford, CA

Teaching and managing pain medicine services as part of the Stanford Pain Management team.

Awards

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Outstanding Paper Award

2013-10-01
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Concurrent Poster Research Highlights

2016-03-01

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.