Summary
Zoey Werbin is an ecological data scientist with eight years of experience applying Bayesian statistics, state-space dynamic models, and genome-scale metabolic modeling to soil microbial and biogeochemical questions. She earned a PhD in Ecology and Evolutionary Biology from Boston University and has a track record securing competitive research funding, delivering dozens of conference talks, and translating complex models into actionable forecasts of carbon and nitrogen cycling across U.S. soils. Zoey blends hands-on bioinformatics and machine learning—built from work on metagenomics pipelines and NASA data QA—to tackle questions from microbe- to ecosystem-scale, and she’s led research teams and mentored students in academic and national lab settings. Now based in Boston and currently at Funga, she pairs deep domain expertise with pragmatic software and statistical tooling, and is an enthusiastic proponent of Bayesian approaches to ecological inference.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Biology, General, Bachelor of Arts - BA, Biology, General at Swarthmore College
Doctor of Philosophy - PhD, Ecology and Evolutionary Biology, Doctor of Philosophy - PhD, Ecology and Evolutionary Biology at Boston University
English, Spanish