Summary
Collin Schwantes is a data scientist with 11 years of experience translating complex ecological and public-sector problems into reproducible, production-ready analytics and tools. He has led data management and open-science transformation at EcoHealth Alliance, built near-real-time COVID-19 forecasting and graph-based semantic search tools at Accenture, and now applies that hybrid research-to-production mindset at Yale. Proficient primarily in R with complementary Python and JavaScript skills, he specializes in geospatial, graph, and reproducible research workflows that unify lab, field, and qualitative data across international collaborations. Collected experience from ecology to federal analytics gives him a rare blend of domain expertise and engineering rigor, and he frequently packages research into usable products and training materials to elevate team capabilities.
11 years of coding experience
8 years of employment as a software developer
BS, Biology - Evolutionary, Spanish, Zoology, BS, Biology - Evolutionary, Spanish, Zoology at University of Wisconsin-Madison
Master of Arts (M.A.), Ecology and Evolutionary Biology, Master of Arts (M.A.), Ecology and Evolutionary Biology at University of Colorado Boulder
English, Spanish