Melanie Kirsche
Principal Bioinformatics Scientist
Seattle, Washington, United States
Summary
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Rockstar🎓
Top SchoolMelanie Kirsche is a Principal Bioinformatics Scientist based in Seattle with a decade of experience building scalable genomics pipelines and novel machine learning methods for clinical and research settings. She earned a PhD from Johns Hopkins, where she developed and released influential tools for structural variant analysis (Jasmine, Iris, Sapling) and contributed to the gapless T2T-CHM13 human genome. At Roche she applies production-grade Nextflow, Python, and cloud-native patterns to large-scale sequencing workflows, having previously designed AWS Batch pipelines and database integrations at Variant Bio. Her background blends deep algorithmic research with practical software engineering, from implementing clustering and Rust bindings at 10x Genomics to performance analyses during internships at Google and Microsoft. An active open-source author and reproducible-research advocate, she publishes her methods and code on GitHub and maintains an academic track record visible on Google Scholar.
10 years of coding experience
2 years of employment as a software developer
Johns Hopkins UniversityMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of Central Florida
Github Skills (35)
suffix-array10
package-management10
conda10
structural-variation10
merge10
bioinformatics10
genomics10
bioconda10
insertion10
bam9
sapling9
suffix9
svg9
jasmine9
fasta8
Programming languages (8)
Github contributions (5)
mkirsche/ContainedReadRemoval
Oct 2018 - Aug 2019
Contributions:205 commits, 58 pushes in 9 months
mkirsche/Iris
Aug 2019 - Jul 2021
A module for improving the insertion sequences of structural variant calls
Contributions:9 releases, 1 review, 158 commits in 1 year 11 months
insertion-sequencescallsinsertionvariant-callsstructural
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