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Katie Colborn, PhD

Assistant Professor

Kathryn Colborn

Research Interests

Statistical methods for spatially and temporally correlated data, machine learning, global infectious diseases, vector-borne diseases.

Current Research

  • Spatio-temporal models
  • Statistical models for correlated observational data
  • Malaria early warning systems
  • Malaria elimination strategies
  • Vector-borne disease research in low-income countries
  • Prediction models for health outcomes

Teaching Interests

  • R programming
  • Machine learning
  • Analysis of correlated data

Courses Taught

  • BIOS 6640: R and Python for Data Science


  • PhD in Biostatistics, University of California, Berkeley, 2013
  • MSPH in Biostatistics, Tulane University, 2005
  • BS in Health and Exercise Science, Colorado State University, 2003

What makes you passionate about or interested in biostatistics?

I enjoy biostatistics because it allows me to contribute my statistical knowledge and skills to public health research and to learn about the epidemiology of many different important diseases. I am passionate about research that aims to reduce the incidence of global infectious diseases, especially in pediatric populations.

Personal Interests & Hobbies

Traveling, hiking, and knitting

Colorado School of Public Health

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Mail Stop B119
Aurora, CO 80045


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