Summary
Ryan Mcclure is an Optimization Specialist and PhD-trained data scientist with over 15 years translating large, complex environmental datasets into actionable insights across national and global aquatic systems. He blends deep domain expertise in freshwater biogeochemistry and ecological forecasting with practical skills in predictive modeling, Bayesian inference, and reproducible data pipelines, having led data management for a federally funded observatory. His postdoctoral work and roles at NEON, Carnegie, and multiple universities show a track record of turning high-volume scientific data into operational forecasts and optimization strategies for water and wastewater systems. Based in Denver, he enjoys cross-disciplinary collaboration and mentoring, and is comfortable communicating uncertainty and model results to non-technical stakeholders. An uncommon strength is his ability to move work from research-grade models to end-to-end, production-ready pipelines that serve both scientists and municipal operations.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Biological Sciences, Doctor of Philosophy - PhD Biological Sciences at Virginia Tech
Biological Sciences Eceology, Biological Sciences Eceology at Montana State University-Bozeman