Alencar Xavier
Breeding Analyst - Latin America And Africa
Johnston, Iowa, United States
Summary
👤
Senior🎓
Top SchoolAlencar Xavier is a Breeding Analyst with eight years of experience applying statistical genetics, mixed models, Bayesian methods, and machine learning to genomic-assisted plant breeding across Latin America and Africa. At Corteva Agriscience he builds high-performance analytical software and algorithms to automate selection decisions, optimize breeding pipelines, and model GxE interactions for major crops like soybean, maize, cotton, and canola. He holds a PhD in Breeding and Statistical Genetics from Purdue and brings hands-on experience translating complex genomic, phenotypic, and environmental data into actionable visualizations and decision tools. As an adjunct faculty and former PhD researcher he has developed efficient algorithms for multivariate mixed models and spatial analysis, bridging academic rigor with production-scale implementation. Colleagues rely on him not only for predictive modeling but also for aligning analyses with breeding program goals and operational constraints across diverse geographies.
8 years of coding experience
Bachelor's degree, Agronomy and Crop Science, Bachelor's degree, Agronomy and Crop Science at Universidade Federal de Santa MariaPhD degree, Breeding and Statistical Genetics, PhD degree, Breeding and Statistical Genetics at Purdue UniversityUniversity of Minnesota Twin Cities
Portuguese, English
Github Skills (3)
bayesian8
bioconductor5
random-forest3
Programming languages (1)
Github contributions (5)
alenxav/FLM
Aug 2019 - Jan 2022
Contributions:42 commits, 18 pushes, 1 branch in 2 years 5 months
alenxav/NAM
Oct 2017 - Jan 2020
Contributions:224 commits, 1 PR, 209 pushes in 2 years 2 months
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