Charlie Seto is a computational biologist and curator with a decade of experience translating microbial ecology and bioinformatics research into robust data stewardship at NCBI's Sequence Read Archive. With a PhD in Biomathematics/Bioinformatics and postdoctoral work on pediatric microbiomes and AMR-associated community traits, he blends deep modeling expertise (flux balance analysis, community metabolic models) with practical pipelines for scalable data and visualization. At NCBI he pairs curation responsibilities with hands-on bioinformatics tooling to ensure persistent, analysis-ready NGS access, and has evaluated mechanistic and ML-based 16S risk-prediction methods. Based in Fresno, he brings an unusual combination of production data curation and research-driven method development, comfortable moving between wet-lab origins and high-performance computational workflows.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at University of Minnesota
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