Dr. Stephanie Chang

Assistant Professor

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Biography

Stephanie Tzu-Ying Chang is an Assistant Professor in the Department of Radiology at Stanford University School of Medicine and serves as the Interim Director of Diagnostic Radiology at the VA Palo Alto. Her research program focuses on utilizing advanced diagnostic technology to non-invasively detect abdominal diseases that predispose individuals to cancer, emphasizing cost-effective imaging strategies for early detection. Dr. Chang's work primarily addresses metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH), which are leading causes of end-stage liver disease and hepatocellular carcinoma (HCC) globally. Through prospective studies at VA Palo Alto, she compares various diagnostic testing methodologies, including blood-based and imaging-based tests, to improve detection rates for HCC among at-risk veteran populations. She is actively involved in optimizing screening strategies by leveraging MRI's capabilities, enhancing throughput, and reducing patient discomfort while maintaining diagnostic quality. Dr. Chang's clinical focus lies in diagnostic radiology, with a commitment to advancing imaging techniques to improve disease detection and staging.

Research Interests

Experience

Interim Director of Diagnostic Radiology

2024-01-01 — Present

VA Palo Alto Health Care System • Palo Alto, CA

Overseeing the diagnostic radiology department, ensuring the quality of imaging services.

Lead Interpreting Physician (LIP), Mammography

2018-01-01 — Present

VA Palo Alto Health Care System • Palo Alto, CA

Leading mammography services, ensuring patient care and quality imaging.

Awards

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RSNA Roentgen Resident/Fellow Research Award

2015-01-01
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RSNA Magna Cum Laude Award

2015-01-01
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Dean’s Prize Research

2008-01-01

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.