Summary
Ryan Spies is a Hydrologic Scientist with 11 years of experience applying hydrometeorological analysis, statistical hydrology, and distributed surface-water modeling to operational and research problems across the United States. Based in Boulder, Colorado, he has implemented and optimized automated flood warning systems, streamflow prediction and flood inundation mapping, drought risk assessments, and reservoir water-supply optimization using tools like HEC-HMS, HEC-ResSim, SAC-SMA, SNOW-17 and NWS operational model suites. His background spans public and private sectors including the USGS and Lynker, where he combined remote sensing, model parameterization, and hydrologic-hydraulic coupling to improve forecasting and decision support. Ryan pairs practical field and research experience (e.g., NEXRAD and rain–snow discrimination studies) with strong Python-based data visualization and web-tool development, making complex hydrologic insights accessible to stakeholders. He is particularly focused on turning research-grade data and models into reliable operational systems for flood mitigation and sustainable water-resource planning.
10 years of coding experience
3 years of employment as a software developer
Master of Science (M.S.), Geology, Master of Science (M.S.), Geology at Iowa State University
Spanish