B.S., Mathematics and Geography, University of Wisconsin, Madison
M.S., Statistics, University of Wisconsin, Madison
Ph.D., Statistical and Quantitative Genetics, University of Wisconsin, Madison
In the Beissinger Lab, we use genomic data and develop statistical methods to study plant population and quantitative genetics. We strive to better understand how plants have evolved in the past, how phenotypes and genotypes are related in the present, and how these sets of information can be used for improvement in the future. Our primary interests fall into two categories:
Currently, the primary areas of focus in the lab include research to understand the predominant patterns of selection during maize domestication, the development of new statistical methods to improve genomic prediction based on evidence of past selection, a search for genomic regions that interact to determine of phenotypes, and the implementation of a long-term selection study for maize plant height.