Katelyn Mcnair is a computational biologist and senior data scientist with 11+ years of experience developing machine learning and algorithmic solutions for large-scale omics and spatial transcriptomics data. She has a proven track record of translating biological insight into widely adopted open-source tools—authoring the only phage-specific gene caller (PHANOTATE), the first phage lifestyle classifier (PHACTS), the sole ribosomal frameshift predictor (PRFect), and Genotate, a novel small-language-model-based gene finder. At UC San Diego she accelerated image-based MERFISH pipelines tenfold and deployed SPRED for cellular boundary prediction, and she now applies that blend of production ML, HPC systems administration, and domain expertise at Quantum-Si. Her work combines deep statistical rigor with practical engineering—building pipelines that mined global metagenomes (revealing crAssphage prevalence) and tooling packaged for easy pip installation—making her contributions both scientifically impactful and highly usable.
11 years of coding experience
10 years of employment as a software developer
Master of Science - MS Computational Science, Master of Science - MS Computational Science at San Diego State University
Contributions:2 releases, 165 commits, 22 PRs in 5 years 6 months
genomesannotategenomicsbioinformaticsannotation
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Katelyn Mcnair - Senior Scientist, Data Science And Algorithms