Avery Garon is a data scientist in Portland with a decade of experience applying advanced statistical methods, Bayesian modeling, and machine learning to large scientific datasets, primarily in astrophysics. At Kin+Carta Data Labs they translate complex data problems into production-ready solutions, building on years developing pipelines and analysis software for the Radio Galaxy Zoo citizen-science project. Avery has hands-on expertise in end-to-end data processing—from VLA radio image reduction to post-processing pipelines that consolidate volunteer inputs and query external catalogs—paired with a strong math background and a Master’s in Astrophysics. Comfortable in international, collaborative research settings, they have produced original statistical studies on thousands of radio sources and routinely bridge research-grade analysis with practical data management. An unexpected strength is turning messy, volunteer-generated data into reproducible, science-ready datasets that enable downstream modeling and discovery.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Astrophysics, Master of Science - MS, Astrophysics at University of Minnesota
Contributions:14 PRs, 103 pushes, 1 comment in 3 years 10 months
analysis-pipelinepipelinegalaxygalaxy-zooradio
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