Summary
Kristen Wells is a computational biologist and Research Assistant Professor at the University of Colorado Anschutz with 10 years of experience building and applying end-to-end genomics pipelines for single-cell and bulk sequencing modalities. She develops reproducible Snakemake pipelines (many published and available on her GitHub), leverages Docker for containerized analyses, and mentors PhD students while contributing to grant writing across a multi-lab diabetes research center. Her hands-on expertise spans scRNA-seq, VDJ-seq, CITE-seq, ATAC-seq, ChIP-seq and eCLIP, and she’s pioneering analysis of combinatorial peptide libraries and single-cell long-read data to profile TCRs. A skilled instructor who teaches single-cell analysis and R, she also brings a science-communication edge from hosting and producing a research podcast. Based in Denver, Kristen combines rigorous computational methods with collaborative lab leadership to translate complex sequencing datasets into biological insight.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Bachelor's degree at Colorado College
High School, High School at Lake County High School
Doctor of Philosophy (Ph.D.), Genetics, Doctor of Philosophy (Ph.D.), Genetics at Stanford University School of Medicine