Dr. Christina Curtis

Professor

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Biography

Christina Curtis is the RZ Cao Professor of Medicine at Stanford University. She serves as the Senior Vice Chair of Research in the Department of Medicine and as the Director of Artificial Intelligence and Cancer Genomics at the Stanford Cancer Institute. Dr. Curtis leads a research lab focused on AI and machine learning, computational modeling, and high-throughput molecular profiling experimentation to develop new methods for the prevention, diagnosis, and treatment of cancer. Her pioneering work has redefined the molecular landscape of breast cancer, creating new paradigms for understanding the origins and evolution of human cancers. She has received numerous accolades, including the NIH Director's Pioneer Award in 2018 and the AACR Award for Outstanding Achievement in Basic Science in 2022. A Kavli Fellow of the National Academy of Sciences, Dr. Curtis is also a member of various advisory boards in the biopharmaceutical sector. Her academic background includes a postdoctoral fellowship at the University of Cambridge and doctorate from the University of Southern California in Molecular Computational Biology.

Research Interests

Awards

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NIH Director's Pioneer Award

2018-01-01
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Outstanding Achievement in Basic Science

2022-01-01
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Breast Cancer Research Foundation Outstanding Achievement Award

2024-01-01
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Translational Award

2025-01-01
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Paul Marks Prize for Cancer Research

2025-01-01

Courses

BMDS 295 BIOE 392 CBIO 299 GENE 299 BIOE 391 CBIO 399 GENE 399 CME 291 GENE 370 BIOE 191X BIO 300X GENE 260 GENE 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.