Kimberly Siegmund, PhD

Professor of Population and Public Health Sciences


Health Equity Interests

I try to understand the behavior of cancer cells and how cancers grow.


Dr. Siegmund is a biostatistician with expertise in cancer modeling and the statistical analysis of epigenetic data in human disease. She has published numerous papers studying DNA methylation, and teaches a course on the statistical analysis of high-dimensional data. Her current research focuses on developing mathematical models to understand the growth and spread of cancer. These models address fundamental questions about aging through modeling cell division processes from a molecular phylogenetic approach.

Dr. Siegmund is interested the analysis of DNA methylation and gene expression data. She is developing mathematical models that will allow the identification of disease sub-types based on DNA methylation profiles. Other interests and skills relate to the design and analysis of family studies for gene characterization.

Research Interests

  • Population Characteristics
  • Cancer
  • Molecular Epidemiology
  • Genetics
  • Cancer Epidemiology
  • Statistical Methods

Courses Taught

  • Seminar in Biostatistics and Epidemiology
  • Statistical Analysis of High-Dimensional Data
  • Systematic Review and Meta-Analysis
  • Summer Institute in Biostatistics
  • Systematic Review and Meta-Analysis of Epidemiologic Literature
  • Directed Research
  • Master's Thesis
  • Internship for Curricular Practical Training
  • Research
  • Doctoral Dissertation
  • Introduction to Health Data Science