My research program is focused on the development and applications of statistical models to common and emerging problems in quantitative genetics and genomics research. Topic areas include prediction of genetic merit under heterogeneous environments, evaluation of experimental designs for animal sciences and genomics research, analysis of gene expression data, and mixed effects modeling of heterogeneous variances and covariances. I also co-direct the CANR Statistical Consulting Center.
I teach graduate service courses in statistical methods and experimental design for students majoring in agricultural/biological sciences.
Estimating effects of genes: One size may not fit all
Published on February 22, 2018
MSU Faculty Contribute to ADSA Publication
Published on June 30, 2017
Robert J. Tempelman Receives J. L. Lush Award in Animal Breeding
Published on June 27, 2017
Alliance to more than double research, outreach investment in Michigan’s animal agriculture industry
Published on January 9, 2017
The same for less: Genetic science holds the key to better feed efficiency in dairy cattle
Published on January 26, 2016