Dan Nettleton

Dan Nettleton is a Professor at Iowa State University's Department of Statistics, where he serves as the Laurence H. Baker Endowed Chair and Department Chair. His academic career focuses on statistical methods for high-dimensional biological datasets, including transcriptomic data (microarrays, RNA-seq), microbiome data, and genome-wide association studies, with applications in plant and animal sciences. He also contributes to statistical learning methodology and sports analytics.

• PhD, Statistics, University of Iowa (1996)
• MS, Statistics, University of Iowa (1993)
• BA, Mathematics, Wartburg College (1991)

Nettleton's research addresses statistical challenges in analyzing complex biological datasets, including methods for genome-wide association studies, RNA-seq analysis, and genotype-by-environment interactions. He applies these methods to problems in plant genetics, microbiome studies, and sports prediction models. His work on random forests and predictive analytics has broad implications in both life sciences and sports statistics.

His recent publications highlight interdisciplinary applications of statistics, including RNA-seq methodology, plant phenotyping with CNN models, and sports analytics using conformal prediction. Collaborations with plant and animal scientists underscore his impact on agricultural research and biological systems analysis.

Advising: Nettleton actively advises graduate students, serves on doctoral committees, and contributes to student education in statistics and interdisciplinary research. No explicit grants are listed in the provided text.

Labs/Teams: Affiliated with the Laurence H. Baker Center for Bioinformatics and Biological Statistics at Iowa State University, integrating computational and biological research.