Dan Flynn is a data scientist with 11 years of experience applying quantitative and ecological expertise to public-sector challenges in energy, equity, public health, and transportation safety at the U.S. DOT Volpe Center. He leverages a Ph.D. in Ecology, Evolution, and Environmental Biology to translate complex environmental and climate-change research into actionable analyses and policy-relevant insights. His career bridges academic research at Columbia, Harvard, and international institutes with hands-on government work, giving him a rare combination of field-informed ecological thinking and practical data science. At Volpe he focuses on sustainable energy and systems-level assessments, bringing lessons from species interaction and range-shift research to interdisciplinary problem solving. Based in Greater Boston, he is skilled at turning messy, real-world datasets into clear, decision-ready evidence. Colleagues describe him as curious and inventive—someone who finds non-obvious connections between ecology and infrastructure policy to surface new solutions.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Ecology, Evolution, and Environmental Biology, Doctor of Philosophy (Ph.D.), Ecology, Evolution, and Environmental Biology at Columbia University in the City of New York
Bachelor's Degree, Biology, Bachelor's Degree, Biology at Oberlin College
Public Version of the Freight and Fuel Transportation Optimization Tool
Contributions:20 commits, 2 PRs, 16 pushes in 1 year 4 months
freighttransportationoptimizationlogisticsfuel
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