Dr. Ann Hsing

Professor

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Biography

Ann Hsing is a Professor (Research) in the field of Medicine at Stanford University, affiliated with the Stanford Prevention Research Center and the Cancer Institute. She is a senior fellow at the Center for Innovation in Global Health and has conducted epidemiological studies across four continents, making her a leading expert in the field. Her research focuses on the etiology of prostate, hepatobiliary, and thyroid cancers, as well as hormonal carcinogenesis and circadian rhythms. With a 22-year tenure at the National Cancer Institute, Dr. Hsing has developed extensive expertise in molecular epidemiology and global oncology, contributing significantly to cancer prevention and population-based studies. She has authored over 340 peer-reviewed articles and has been actively involved in mentoring numerous post-doctoral fellows. Notably, she leads multiple funded projects, including longitudinal studies on health patterns across diverse populations, and investigations into the role of Traditional Chinese Medicine in health. Her work involves advanced data analyses using large health databases to identify clinical questions that inform practice.

Research Interests

Experience

Professor (Research)

— Present

Stanford University • Palo Alto, California

Conducting research and teaching in the field of medicine.

Senior Fellow

— Present

Center for Innovation in Global Health, Stanford University • Palo Alto, California

Leading initiatives on global health and population health sciences.

Courses

CHPR 288 (Spring) CHPR 242 (Winter) CHPR 399 (Autumn, Winter, Spring, Summer) CHPR 290 (Autumn, Winter, Spring, Summer) CHPR 299 (Autumn, Winter, Spring, Summer) EPI 299 (Autumn, Winter, Spring, Summer) EPI 399 (Autumn, Winter, Spring, Summer) EPI 199 (Autumn, Winter, Spring, Summer)

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.