Gordon Bean is an Associate Professor and bioinformatics practitioner with 17 years of experience bridging statistics, mathematics, computer science, and systems biology to solve real-world problems. He teaches computer science while consulting on software engineering and bioinformatics, bringing prior senior-level experience at Illumina and a Ph.D. from UC San Diego in Bioinformatics and Systems Biology. Gordon’s research background includes developing quantification and analysis algorithms for high-throughput genetic interaction mapping and building both experimental assays and software that extended the limits of genetic screening. Comfortable moving between theory and production, he has contributed to phylogeny construction, motif-finding, genome assembly pipelines, and statistical FDR estimation frameworks. Based in Orem, Utah, he combines a persistent habit of pondering analytical puzzles with a practical focus on improving how people live and relate. An ongoing thread in his work is turning complex biological data into actionable computational tools for everyday impact.
17 years of coding experience
7 years of employment as a software developer
University of California San Diego
Bachelor of Science (BS), Bioinformatics, Bachelor of Science (BS), Bioinformatics at Brigham Young University
Recursively evaluates customizable macros in JSON objects
Contributions:1 review, 7 PRs, 4 pushes in 17 days
macrosrecursivelycustomizablejson-objectsjson
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