Summary
Kaio Olimpio is an Assistant Professor and plant genetics researcher with eight years’ experience specializing in applied genomic selection, linear mixed models and Bayesian approaches for plant breeding. Currently based in Minas Gerais, Brazil, he transitioned from postdoctoral work at USP/ESALQ—where he developed probabilistic models for genotype-by-environment interaction—to a faculty role at Universidade Federal de Viçosa. His technical strengths include advanced R and ASReml-R analytics, and he has devised genomic prediction strategies for untested maize hybrids using unbalanced historical data during a visiting scholarship in Germany. Kaio’s work bridges rigorous statistical genetics and practical breeding decisions, with a track record of international collaborations across the US, Germany and Brazil.
8 years of coding experience
3 years of employment as a software developer
PhD in Genetics and Plant Breeding, Agriculture, General, PhD in Genetics and Plant Breeding, Agriculture, General at Universidade Federal de Lavras
Portuguese, English