Darren Abbey is a researcher and computational biologist with a PhD in Genetics from the University of Minnesota and over a decade of hands-on experience bridging wet lab diagnostics and bioinformatics. He has led and supported bioinformatics pipelines for large genome datasets, contributed to projects like YMAP, and maintains a strong publication record with international collaborations. At Medtox he progressed from certifying scientist to team lead, applying algorithmic thinking and software tooling to streamline complex HPLC result certification workflows. Comfortable moving between protocol development, data visualization and algorithm design, he combines rigorous laboratory practice with pragmatic software engineering. Based in Hopkins, MN, he brings rare depth in both clinical testing operations and computational genomics.
11 years of coding experience
9 years of employment as a software developer
BS, Biology, General, BS, Biology, General at The University of Texas at Austin
YMAP - Yeast Mapping Analysis Pipeline : An online pipeline for the analysis of yeast genomic datasets.
Contributions:224 pushes, 7 branches, 10 comments in 8 years 6 months
analysis-pipelinepipelineyeastymapgenomics
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