Michael Kotliar is a bioinformatics senior analyst with nine years of experience building reproducible, high-performance NGS data pipelines and applying mathematical modeling to epigenomics and single-cell studies. Based in Cincinnati, he has implemented and refactored 100+ cross-platform workflows and helped extend a research data platform (BioWardrobe) to achieve a five-fold performance boost. He co-developed CWL-Airflow and contributed to the Common Workflow Language ecosystem—making him a rare practitioner who bridges open standards, workflow engines, and production research pipelines. His contributions to the cwltool reference implementation include practical fixes and Docker mount support, reflecting a hands-on approach to improving tooling that labs across major medical centers rely on. Trained as a computer engineer, he combines robotics-era systems programming experience with domain-focused bioinformatics to deliver portable, auditable analysis at scale.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Krivoy Rog National University
Contributions:17 commits, 5 PRs, 10 comments in 4 years
Contributions summary:Michael focused on bug fixes and enhancements within the `cwltool` codebase, particularly addressing issues related to job order processing and file handling. Their contributions include fixing an issue related to YAML loading, correcting type inconsistencies, and adding support for docker mounts. They also made changes to the workflow engine, including updates to the output callback and enhancements related to scatter operations.
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