Daniel Gianola is an emeritus professor of animal breeding and quantitative genetics and biostatistics at the University of Wisconsin, Madison. His research centers on the theory of quantitative genetics and on statistical genetics. He has been one of the main contributors to the adoption of Bayesian methods for analyzing and predicting complex traits in quantitative genetics.