Gabriel Gesteira
Biometrician at BASF
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolGabriel Gesteira is a biometrician and statistical geneticist with nine years of experience applying quantitative genetics, genomics, and computational methods to make plant breeding more efficient. He has driven development of models and user-friendly software for haplotype reconstruction, QTL mapping, and genomic prediction—specializing in the added complexity of polyploid crops like potato and sweetpotato. As a postdoctoral researcher at NC State and now a member of BASF’s Global Biometrics team, he bridges academic method development with breeder-focused analytics across the Americas. Gabriel combines deep statistical rigor with practical bioinformatics implementation, optimizing resource allocation and decision support in multi-parent breeding programs. He brings a farmer-centric perspective rooted in agronomy training, which helps translate complex models into tools breeders actually use.
9 years of coding experience
4 years of employment as a software developer
Visiting Research Scholar, Quantitative Genetics, Statistics, Bioinformatics, Visiting Research Scholar, Quantitative Genetics, Statistics, Bioinformatics at North Carolina State UniversityMaster's degree, Plant Breeding and Genetics, Master's degree, Plant Breeding and Genetics at Universidade Federal de LavrasEscola Superior de Agricultura "Luiz de Queiroz"
Github Skills (21)
genetic10
r-package9
genetics9
statistical-genetics8
python6
shiny5
htmlwidgets5
r4
emacs3
org-mode3
universe3
widgets3
visualize3
pdf2
docker-image2
Programming languages (4)
Github contributions (5)
gabrielgesteira/QTLpoly
Oct 2021 - Jun 2022
R package for random-effect multiple QTL mapping in autopolyploids
Contributions:2 releases, 45 commits, 6 PRs in 7 months
r-packagemappingqtlpolyploidqtl-mapping
gvenck/gvenck.github.io
Apr 2018 - May 2021
GVENCK website
Contributions:187 commits, 6 PRs, 182 pushes in 3 years 1 month
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