Summary
Kevin Wright is an applied statistician and research scientist with 14+ years of experience designing and analyzing agronomic field experiments and building large-scale analytics systems at Corteva Agriscience. He specializes in graphical presentation of data and models, data quality, and mixed models, translating complex experimental results into actionable insights for principal investigators. His background spans academia and industry, including a PhD in Statistics from Iowa State and roles at DuPont Pioneer, giving him deep domain knowledge in agricultural research. Known for combining rigorous statistical methods with practical systems and education, he often bridges the gap between bespoke experimental analyses and scalable analytics workflows. An eye for clear visual communication distinguishes his work, making dense statistical output accessible to diverse stakeholders.
14 years of coding experience
7 years of employment as a software developer
Ph D, Statistics, Ph D, Statistics at Iowa State University
MS, Statistics, MS, Statistics at University of Nebraska-Lincoln