Graham Larue is a Senior Bioinformatics Scientist based in San Francisco with 11 years of experience combining wet-lab expertise and computational biology. Trained in molecular evolution and system biology (PhD), he pivoted from benchwork to full-time Python development and Linux administration, authoring peer-reviewed bioinformatics software and teaching Python to peers and undergraduates. His work spans NGS-driven gene annotation, comparative genomics, genome evolution, and sequence classification with applied machine learning, now deployed in industry roles including Mammoth Biosciences and Natera. Comfortable bridging experimental design and reproducible pipelines, he brings practical lab intuition to algorithmic solutions—an asset in translating noisy biological data into actionable insights. An uncommon strength is his longevity in hands-on biology combined with 7+ years of professional Python coding, enabling him to both build tools and understand the experiments that generate the data.
11 years of coding experience
6 years of employment as a software developer
Master of Science (MS) Cell/Cellular and Molecular Biology, Master of Science (MS) Cell/Cellular and Molecular Biology at San Francisco State University
University of California Santa Cruz
Doctor of Philosophy - PhD Quantitative and Systems Biology, Doctor of Philosophy - PhD Quantitative and Systems Biology at University of California, Merced
Contributions:1 release, 31 pushes, 1 branch in 6 years 10 months
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