Dr. Summer Han

Associate Professor

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Biography

Summer Han is an Associate Professor (Research) in the Department of Medicine at Stanford University, specializing in Biomedical Informatics. She has made significant contributions to the fields of statistical genetics, molecular epidemiology, and cancer screening. Her research primarily focuses on the genetic and environmental etiology of complex diseases, developing and evaluating efficient screening strategies based on etiological understanding. She is proficient in developing statistical methods to analyze high-dimensional data, identifying genetic and environmental risk factors and their interactions with complex diseases. Han has served in various professional roles, including as an Associate Editor for Molecular Carcinogenesis and as a member of the NIH Study Section. She was awarded the NIH MERIT Award in 2018 and has received numerous other accolades throughout her career. Han earned her PhD in Statistics from Yale University in 2009, with a Master's degree in the same field completed in 2004. Her commitment to improving public health through statistical methods is notable and underlines her expertise in health policy modeling and risk prediction modeling.

Research Interests

Experience

Associate Professor (Research)

2014-01-01 — Present

Stanford University • Stanford, CA

Conducting research in statistical genetics and molecular epidemiology, and teaching courses.

Awards

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NIH MERIT Award

2018-06-01
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Stanford Spectrum Pilot Award

2017-01-01

Courses

EPI 299 EPI 399 NENS 370 BIOE 191X EPI 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.