Summary
Samuel Olson is a statistical consultant with nine years of experience applying quantitative methods across academia, government-facing research, and industry. He develops and implements estimators—most notably creating the R package gregRy for the GREGORY estimator—and has both proven analytical rigor (deriving MSE, bias, consistency) and practical validation through simulation studies. Samuel has worked as a data scientist at SemanticBits and supported large-scale survey and qualitative research at Fisher Investments, giving him a rare blend of statistical theory and applied consumer/organizational insights. Currently based at Iowa State University while pursuing graduate work in statistics, he consults on complex analyses for researchers and stakeholders. Colleagues value his ability to translate technical findings into actionable guidance for forestry, public-sector, and private clients. He pairs deep methodological competence with a history of clear communication and collaborative research dissemination.
9 years of coding experience
6 years of employment as a software developer
Masters/PhD Statistics, Masters/PhD Statistics at Iowa State University
Bachelor of Arts - BA Math and Economics, Bachelor of Arts - BA Math and Economics at Reed College