Summary
Tiago Olivoto is an Associate Professor of Crop Science at the Federal University of Santa Catarina with eight years of professional experience bridging plant breeding, experimental statistics, and high-throughput phenotyping. He holds a PhD in Agronomy (experimental statistics for plant breeding) and leads the NEPEM/UFSC flax breeding program, applying biometric methods to real-world varietal improvement. Tiago develops and maintains widely used R tools—metan for multi-environment trial analysis and pliman/plimanshiny for plant image analysis and phenotyping—bringing reproducible analytics and user-friendly GUIs to plant science. His work as an associate editor for Ciência Rural and the Brazilian Journal of Biometrics underscores his role shaping methodological standards in the field. Recognized by Elsevier among UFSC’s most influential researchers for 2023, he combines rigorous statistical training with practical breeding outcomes and open-source software impact. Notably, his background as an agricultural engineer informs a hands-on approach to melding field experiments with advanced computational workflows.
8 years of coding experience
Agronomia, Área das ciências Exatas e da Terra, Agronomia, Área das ciências Exatas e da Terra at UNOESC
Mestarado, Agronomia - Melhoramento Genético de Plantas, Mestarado, Agronomia - Melhoramento Genético de Plantas at Universidade Federal de Santa Maria