Carey Huh is a predictive data analyst and neuroscientist with over 20 years of experience turning complex biological and public-health datasets into actionable insights for government and research stakeholders. With a Ph.D. in neuroscience and a decade of applied data science experience, Carey has built reproducible ETL pipelines that process tens of millions of records, designed high-performance identity-matching rules that sped COVID result processing ~4x, and created public-facing R Shiny dashboards used for county surveillance. A prize-winning visual storyteller and mentor, Carey has secured ~$420K in grants, authored 17 peer-reviewed papers cited 700+ times, and regularly translates technical findings for non-technical audiences. Equally comfortable at the bench or the command line, Carey combines deep experimental-design expertise with production-grade skills in R, Python, SQL, Posit tools, and cloud/devops workflows.
10 years of coding experience
17 years of employment as a software developer
Bachelor's Degree Biopsychology, Bachelor's Degree Biopsychology at The University of British Columbia
Doctor of Philosophy (Ph.D.) Neuroscience, Doctor of Philosophy (Ph.D.) Neuroscience at McGill University
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