Summary
Chad Eshelman is an environmental statistician and operations researcher with 11+ years applying mathematical statistics, simulation, and data science to public-sector risk modeling and large-scale operational problems. He has modeled livestock disease spread for USDA scenarios, built tools to extract and visualize NAADSM outputs, and drove data-quality and monitoring improvements for AWS data center operations. Chad blends Lean Six Sigma training and practical simulation work—FlexSim and stochastic models—to guide multi-million-dollar capital and surveillance decisions across industry and government. He currently supports environmental analytics at the Washington State Department of Ecology while running a small leatherworking studio, reflecting an unusual combination of rigorous quantitative practice and hands-on craft. His PhD in Applied Statistics underpins expertise in nonparametric methods, experimental design, and tool development that translate complex model outputs into actionable policy and operational guidance.
10 years of coding experience
15 years of employment as a software developer
Ph.D Applied Statistics and Research Methods, Ph.D Applied Statistics and Research Methods at University of Northern Colorado