Summary
Ryan Eagan is a software engineer and PhD candidate in physical climatology at the University of Delaware, blending a decade of practical engineering with rigorous environmental science and physics training. Based in New York, he applies computational tools to climate and ocean problems, translating complex datasets into reproducible analyses and software. His background bridges numerical modeling, data-driven research, and production-quality code, making him adept at turning scientific questions into deployable solutions. Notably, he brings a physicist’s quantitative rigor to software design, ensuring models are both scientifically credible and engineered for real-world use.
11 years of coding experience
University of Delaware