Guilherme RosaProfessor
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Curriculum vitae
Professor Rosa develops and applies 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.
Teaching activity
https://orcid.org/0000-0001-9172-6461
Professor Rosa develops and applies 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.
Teaching activity
- Mixed Models
- Quantitative Genetics and Genomics
- Precision Livestock farming
- Statistical and machine learning techniques applied to livestock data
https://orcid.org/0000-0001-9172-6461