Jarad Niemi is a director-level statistical consultant and professor with 14 years of academic experience and over a decade teaching at Iowa State University, specializing in Bayesian and agricultural statistics. He develops computational Bayesian methods and leads applied data analyses that inform agricultural decision-making and disease outbreak policy. As Professor in Charge of Data Science and Director of Statistical Consulting, he bridges methodological research with real-world consulting across interdisciplinary teams. His background spans chemical engineering and biostatistics (B.ChE, M.S.) and a Ph.D. in Statistical Science from Duke, giving him a rare blend of experimental, computational, and domain expertise. Early career roles—from industry research at Procter & Gamble to biological experiments at the University of Minnesota—underscore his practical approach to statistical problems. Colleagues describe him as a methodologist who quickly translates complex Bayesian theory into usable analyses for stakeholders in agriculture and public health.
14 years of coding experience
18 years of employment as a software developer
Ph.D., Statistical Science, Ph.D., Statistical Science at Duke University
M.S, Biostatistics, M.S, Biostatistics at University of Minnesota
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