Bryan Quach is a Scientific Developer with 11 years of experience at the intersection of platform engineering and bioinformatics, currently applying scalable computing and data orchestration to genomics problems. He has led cross-functional teams to design ELT pipelines, cloud infrastructure, and reproducible workflows for terabyte-scale multi-omics analyses, translating biological questions into robust technical specifications. Bryan’s background blends a PhD in Bioinformatics with hands-on software craftsmanship—Python, R, WDL/Cromwell, Docker, and AWS—so he ships production-ready analysis platforms as well as exploratory research code. He has a track record of prototyping machine learning models for genomic signal prediction and building object-oriented tools that survived transition from academic prototypes to team-used pipelines. Known for mentoring and technical teaching, he elevates team capabilities in data analysis and infrastructure best practices. Based in the Raleigh–Durham area, he uniquely pairs deep domain knowledge in genetics and public health with platform-level engineering to make complex biological data reliably analyzable.
11 years of coding experience
16 years of employment as a software developer
U.S. House of Representatives Page School
Bachelor of Science (B.S.) Bioinformatics Biostatistics (Minor), Bachelor of Science (B.S.) Bioinformatics Biostatistics (Minor) at Loyola University Chicago
Doctor of Philosophy (Ph.D.) Bioinformatics and Computational Biology, Doctor of Philosophy (Ph.D.) Bioinformatics and Computational Biology at The University of North Carolina at Chapel Hill
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