Directory Profile

Headshot Kayla Williamson

Kayla Williamson MS

Research Instructor
  • Center for Innovative Design & Analysis
  • Department of Biostatistics & Informatics

Kayla is a biostatistician and research instructor in the Department of Biostatistics & Informatics and Center for Innovative Design and Analysis at the Colorado School of Public Health. She is skilled in many statistical methods including regression, mixed models, random forests, and ordination methods. Proficient in R for statistical computing and SAS.She is most interested and specialize in "–omics" data, which can include genomics, transcriptomics, metabolomics, microbiomics, and proteomics.

Kayla received her MS in biostatistics from the University of Colorado Denver. Her thesis focused on repeated measures principal coordinate analysis.

What's in your data?   Possibilities  

"Statisticians bring expertise in experimental design, power and sample size, data manipulation and integration and complex analysis plans."

"I love being a part of team science and being able to learn about my collaborators fields."

Areas of Expertise

  • Microbiome
  • Correlated principal component analysis

Education, Licensure & Certifications

  • MS, Biostatistics, University of Colorado Denver
  • BS, Statistics, University of Colorado Denver