Summary
Travis Hinkelman is a data scientist and quantitative ecologist with a decade of experience turning complex ecological and hydrologic model outputs into actionable insights through statistical analysis, interactive dashboards, and geospatial web applications. He has built simulation models of salmonid behavior, processed DSM2 HYDRO outputs, and analyzed fish capture data to quantify ecosystem impacts of water management. Comfortable across the stack, he authors Shiny apps and automated, parameterized reporting pipelines while training colleagues in R and reproducible workflows. His background spans consulting, long-term modeling roles, and a Ph.D. in ecology, giving him both scientific rigor and practical delivery skills. A dedicated R programmer who experiments with Scheme and Elixir, he brings a rare blend of ecological domain expertise and software craftsmanship to environmental decision-making. Based in Rocklin, CA, he quietly combines research-grade analysis with production-facing tools that help managers act on complex environmental data.
10 years of coding experience
1 year of employment as a software developer
Master of Science (M.S.), Wildlife Biology, Master of Science (M.S.), Wildlife Biology at Clemson University
Doctor of Philosophy (Ph.D.), Ecology, Doctor of Philosophy (Ph.D.), Ecology at University of Nebraska-Lincoln
Bismarck High School
University of Missouri