Dr. Gloria Hwang

Professor

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Biography

Gloria Hwang is a Clinical Professor in the Department of Radiology at Stanford University. With an extensive background in interventional oncology, she has been pivotal in advancing the field of image-guided treatment techniques. Dr. Hwang serves as the Director of Clinical Performance Improvement and is involved in various leadership roles within the department. Her academic journey includes completing her medical education at Stanford University School of Medicine and obtaining a fellowship at Stanford University Hospital. Over the years, she has received numerous accolades, including the Magazine Cum Laude distinction from Harvard University and the Outstanding Faculty Award from the Society of Interventional Radiology. Her research interests focus on pancreatic interventions and innovative therapies, including image-guided gene therapy. Dr. Hwang's dedication to advancing interventional radiology is reflected in her commitment to clinical trials and patient outcomes research, working actively to track patient progress and enhance treatment strategies.

Research Interests

Experience

Clinical Professor

— Present

Stanford University • Stanford, CA

Professor of Clinical Radiology leading educational and research initiatives in the field.

Medical Informatics Director

— Present

Stanford Health Care • Stanford, CA

Oversaw medical informatics and technology integration in clinical operations.

Awards

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Certificate of Appreciation

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RadioGraphics Editor's Recognition Award Special Distinction

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Physician of the Year

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Faculty of the Year

Courses

RAD 299 RAD 280 RAD 399 RAD 370 RAD 101 RAD 199

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.