Giovanny Covarrubias-pazaran is a Senior Biometrician and Quantitative Geneticist with a PhD in plant breeding and over nine years of experience translating advanced statistical genetics into actionable breeding decisions across public and private sectors. He builds and deploys state-of-the-art predictive methodologies—such as genomic selection, heterotic pool formation, and selection indices—and is an author of widely used R packages like sommer and lme4breeding that power multivariate mixed-model analyses. At BASF and CGIAR, he has led optimization of breeding pipelines to maximize genetic gain, combining rigorous quantitative methods with pragmatic adoption strategies for breeding programs. Bilingual and experienced in multicultural teams, he pairs deep methodological expertise with hands-on field breeding experience, from experimental design to pipeline implementation. An uncommon strength is his ability to bridge open-source software development with operational breeding needs, ensuring tools move from code to measurable genetic progress.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Agricultural and Horticultural Plant Breeding, PhD in plant breeding and genetics, Doctor of Philosophy (PhD), Agricultural and Horticultural Plant Breeding, PhD in plant breeding and genetics at University of Wisconsin-Madison
Bachelor of Science (BS), Agronomy and Crop Science, Ingeniero Agronomo Especialista en Fitotecnia, Bachelor of Science (BS), Agronomy and Crop Science, Ingeniero Agronomo Especialista en Fitotecnia at Universidad Autónoma Chapingo
Agricultural and Horticultural Plant Breeding, Visiting Research Scholar, Agricultural and Horticultural Plant Breeding, Visiting Research Scholar at University of Florida
Contributions:7 PRs, 293 pushes, 1 branch in 1 year 3 months
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