Robel 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
10 years of employment as a software developer
Master of Science - MS Computational Biology and Bioinformatics, Master of Science - MS Computational Biology and Bioinformatics at University of Southern California
Associate of Science - AS, Associate of Science - AS at College of the Canyons
University of California, Los Angeles
Data Science Career Track Certificate Data Science - Advanced Machine Learning Track, Data Science Career Track Certificate Data Science - Advanced Machine Learning Track at Springboard
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