Italo Granato is a quantitative genetics scientist with 11 years of experience applying data-driven methods to crop improvement, currently advancing quantitative genomics and envirotyping at KWS in Germany. With a PhD in genetics and plant breeding and postdoctoral work at INRA, he blends rigorous statistical modeling and genomic selection expertise to develop climate-resilient breeding strategies. His background spans academic research, international collaborations (including CIMMYT), and industry breeding programs, giving him a practical understanding of translating models into field-ready decisions. Known for integrating envirotyping into prediction frameworks, he brings both hands-on experimental design experience and a strong computational toolkit to tackle complex genotype-by-environment challenges.
11 years of coding experience
4 years of employment as a software developer
Mestrado, Agronomia - Melhoramento Genético de Plantas, Mestrado, Agronomia - Melhoramento Genético de Plantas at Universidade Federal de Viçosa
Técnico em Agropecuária, Agronomy and Crop Science, Técnico em Agropecuária, Agronomy and Crop Science at Centro Federal de Educação Tecnológica de Minas Gerais
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