Statistical Genomics at UW-Madison

Courses	Software	Students
Prospective Students

Faculty

	Cécile Ané Associate Professor Statistics and Botany	Statistical inference in molecular evolution; model selection; inference on the distribution of genealogies across the genome; analysis of trait evolution using phylogenetic trees.
	Karl Broman Professor Biostatistics & Medical Informatics	Characterization of meiotic recombination and the development of improved methods for detecting and identifying genes contributing to variation in complex traits in humans and experimental organisms.
	Natalia de-Leon Assistant Professor Agronomy	Plant breeding and quantitative genetics. Population enhancement for biomass increase and cell wall composition. Interface of plant breeding and quantitative and molecular genetics. Combination of different sources of genetic information such as phenotypic, genotypic and expression data. Genetic analysis of developmental traits in maize.
	Daniel Gianola Professor Animal Sciences, Biostatistics & Medical Informatics, and Dairy Science	Statistical problems in quantitative genetics and animal breeding; Bayesian approaches for inference about parameters of linear and nonlinear models (e.g., for growth and lactation curves), censored (e.g., productive lifespan) and discrete (e.g., fertility and viability) distributions. International animal breeding and biometry.
	Sunduz Keles Professor Biostatistics & Medical Informatics and Statistics	Developing and applying statistial methods for problems that arise in genome biology.
	Christina Kendziorski Professor Biostatistics & Medical Informatics	Methods and software for the analysis of data from high-throughput studies of genetics and genomics, particularly ion studies of complex diseases.
	Bret Larget Associate Professor Statistics and Botany	Phylogenetics and molecular evolution
	Michael Newton Professor Biostatistics & Medical Informatics and Statistics	Statistical problems in the analysis of gene expression microarrays and other high-throughput genomic technologies.
	Guilherme Rosa Professor Animal Sciences and Biostatistics & Medical Informatics	Research at the interface between statistical/theoretical and molecular genetics, focusing on applications to animal models in domestic/managed and natural populations.
	Grace Wahba Professor Statistics, Biostatistics & Medical Informatics, and Computer Sciences	Multivariate function estimation and statistical model building, with emphasis on statistical theory and the development of efficient numerical and statistical methods for large and extremely large data sets, and applications to biostatistics, numerical weather prediction, climate, and supervised machine learning.
	Sijian Wang Associate Professor Biostatistics & Medical Informatics and Statistics	High-dimensional data analysis, variable selection and model selection; bioinformatics; machine learning and data mining; statistical modeling in medical sciences.
	Kent Weigel Professor Dairy Science	Genetic improvement of dairy cattle using whole genome selection, low-density genotyping, imputation of missing genotypes, inbreeding management tools, and genome-guided mate selection algorithms.
	Brian Yandell Professor Statistics and Horticulture	Unraveling the complex relationships between observeable traits (such as flowering time or clinical signs of diabetes) and molecular signals (mRNA expression, protein and metabolite levels, etc.); development of informatics platforms that allow biologists and data analysts to share data and algorithms.