Summary
Nick Silverman is a Principal Earth Systems AI/ML Scientist with 11 years of interdisciplinary experience applying remote sensing, land surface modeling, and machine/deep learning to water, climate, food, and forest sustainability problems. He leads applied research at MITRE while running his consultancy, Adaptive Hydrology, and teaches and collaborates as a Faculty Affiliate and Adjunct Professor at the University of Montana. His background spans academic hydroclimatology (PhD) and engineering, plus hands-on river and wetland restoration projects, giving him a rare blend of field, modeling, and data-science expertise. He has led science teams in startup and industry settings (Waterplan, xarvio) to turn climate and weather data into operational insights for agriculture and resource management. Based in Missoula, he focuses on building resilient landscape products and improving seasonal climate forecasting for practical decision-making. Colleagues value his ability to translate complex earth-system models into usable tools that inform policy and on-the-ground practice.
11 years of coding experience
17 years of employment as a software developer
MS, Mechanical Engineering, MS, Mechanical Engineering at University of Washington
PhD, Hydroclimatology, PhD, Hydroclimatology at The University of Montana
BS, Physics & Engineering, BS, Physics & Engineering at Washington and Lee University