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