Wyatt Sharber is a senior field data scientist in Seattle who brings an uncommon combination of PhD-level evolutionary biology and practical data science to client-focused analytics. With eight years in applied data roles and over a decade of research experience, he designs experiments, manages large biological datasets (including Illumina and Sanger sequencing), and implements rigorous statistical and phylogenetic analyses to ensure scientifically sound results. At Ekata he applies that domain rigor to production data problems, and his background as a teacher and public science communicator makes his work highly interpretable for stakeholders. He has secured competitive research funding, led multi-year projects, and developed outreach programs like themed botany walks—evidence of both technical leadership and people-facing initiative. Outside of work he blends curiosity and craft through interests in tropical plants, film photography, and bouldering, which often inform his creative approach to problem solving.
8 years of coding experience
Data Science, Data Science at Flatiron School
Bachelor of Science - BS, Zoology and Botany, Bachelor of Science - BS, Zoology and Botany at Oklahoma State University
Doctor of Philosophy - PhD, Biology, General, Doctor of Philosophy - PhD, Biology, General at University of Miami
Contributions:114 commits, 69 PRs, 78 pushes in 5 months
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