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Summary
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SeniorRobel Dagnew is a Data Manager and computational biologist with eight years of experience building scalable bioinformatics pipelines and managing large genomic datasets for translational research. He has designed and productionized Snakemake workflows with containerization, leveraged HPC/SLURM and Globus for multi-institutional data transfers, and created interactive R Shiny and Power BI dashboards to make complex cancer genomics data actionable. His work spans WGS/WES/RNA-seq, copy-number modeling (HMM-based callers), and validation pipelines using high-quality PacBio assemblies, reflecting both algorithmic depth and practical engineering. At CDC and USC he has combined grant-writing, collaborative data governance, and reproducible pipeline versioning to support large consortia studies. A former bioengineering undergrad who built optogenetic hardware, he brings hands-on experimental intuition to computational genomics, helping bridge wet-lab nuance and scalable analysis.
8 years of coding experience
Github Skills (2)
structural-variation10
hidden-markov-model10
Programming languages (3)
Github contributions (5)
redndgreen8/hmcnc
Sep 2019 - Jul 2021
Hidden Markov Model based Copy number caller
Contributions:2 releases, 83 commits, 8 PRs in 1 year 10 months
hidden-markov-modelcncnvhmmsegmental-duplications
ChaissonLab/hmcnc
Jul 2021 - Mar 2022
Hidden Markov Model based Copy number caller
Contributions:134 commits, 94 pushes, 3 branches in 8 months
hidden-markov-model
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