Rodrigo Amadeu is a Senior Quantitative Genetics Scientist with 10 years of experience applying statistical genetics and data-driven breeding approaches across major crops, currently leading quantitative genetics efforts for soybean at Bayer Crop Science. He combines a PhD in Horticultural Science with hands-on breeding, phenotyping, and advanced genomic prediction to turn complex genetic data into actionable selection strategies. Rodrigo has a track record of developing and maintaining domain-specific software (e.g., contributions to AGHmatrix, diaQTL, onemap families and fullsibQTL) that bridges computational methods and breeding practice. His background spans academic research in blueberry and cassava-related labs to industry-scale germplasm improvement for corn and soybean, reflecting both methodological depth and practical impact. Based in Chesterfield, Missouri, he emphasizes reproducible, data-driven pipelines that accelerate varietal improvement and often surfaces nonobvious genetic signals through careful experiment design and mixed-model inference.
10 years of coding experience
8 years of employment as a software developer
Escola Superior de Agricultura "Luiz de Queiroz"
Doctor of Philosophy - PhD, Horticultural Science, Doctor of Philosophy - PhD, Horticultural Science at University of Florida
Repository created to host the R package OneMap: software for constructing genetic maps in experimental crosses: full-sib, RILs, F2 and backcrosses
Contributions:15 PRs, 50 pushes, 2 branches in 4 years
r-packagehostonemapgeneticsib
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