Catherine Ross is a computational biologist with 9 years of experience building scalable bioinformatics pipelines and statistical models for cancer genomics and immunotherapy. She has driven pipeline engineering and containerized Nextflow workflows at Genentech, developed novel tumor mutation burden estimation methods, and contributed to personalized vaccine trials and peer-reviewed publications. At the University of Toronto she produced widely used tools—like an interactive Shiny viewer and an R Bioconductor package—and optimized CRISPR guide libraries that supported Nature publications. Now at Roche, she continues to bridge research and production environments, emphasizing modular package development, HPC optimization, and reproducible data curation. Comfortable moving between hands-on code, SQL-backed feature engineering, and collaborative translational projects, she pairs rigorous computational design with domain knowledge in molecular genetics. Her background in both clinical data annotation and pathology gives her uncommon insight into the practical limits and opportunities of genomic ML in the clinic.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Health Sciences (BHSc), Health Sciences, Bachelor of Health Sciences (BHSc), Health Sciences at McMaster University
Master of Science (MSc), Molecular Genetics, Master of Science (MSc), Molecular Genetics at University of Toronto
:fishing_pole_and_fish: Bioconductor package for pathway enrichment and depletion analysis via a Fisher's exact test on custom test sets and annotations
Contributions:3 releases, 362 commits, 14 PRs in 9 months
Contributions:19 pushes, 3 branches in 1 year 7 months
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