Skyler Kuhn is a Bioinformatics Analyst II with a decade of experience designing, implementing, and operating scalable, fault-tolerant bioinformatics pipelines for high-performance and cloud environments. At Leidos supporting the NCI, he specializes in transcriptomics—building and benchmarking workflows for gene expression, isoform regulation, alternative splicing, viral integration, RNA–RNA interactions, and RNA secondary structure—and serves as a go-to analyst and guest lecturer on RNA-seq best practices. He has led migrations of complex on-premise pipelines to the cloud and supports end-to-end project lifecycles from raw data to manuscript co-authorship. With a strong computational foundation (M.S. in Bioinformatics, 3.9 GPA) and prior roles in scientific programming, teaching, and database-driven web apps, he blends rigorous research literacy with production-grade software engineering. Outside the lab, he balances technical depth with real-world curiosity—hinted by a leadership role on GitHub and a fondness for adding one more bike to the fleet.
10 years of coding experience
Master's degree, Bioinformatics, 3.9, Master's degree, Bioinformatics, 3.9 at Virginia Commonwealth University
Bachelor of Science, Biology/Biological Sciences, General, Bachelor of Science, Biology/Biological Sciences, General at James Madison University
Pipeline to characterize Human Endogenous Retrovirus (HERV) expression
Contributions:30 commits, 4 PRs, 18 pushes in 1 year 7 months
pipelinedockergenomicswdl-workflowbioinformatics
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