Data Science for Efficient and Sustainable Livestock Farming.

We develop and apply statistical and computational tools for the analysis of livestock data, including beef and dairy cattle, swine, poultry among others. Examples of applications include the analysis of farm-level operational data for optimization of management practices, high-throughput phenotyping techniques for real-time monitoring of individual animals and disease surveillance, as well as quantitative genetics/genomics and breeding.

Department of Animal and Dairy Sciences

University of Wisconsin-Madison

Guilherme J. M. Rosa