Olumide Alabi is a plant breeding and quantitative genetics specialist with 11 years’ experience applying genomics, mixed models, Bayesian methods and machine learning to accelerate varietal development in commercial breeding programs. He has led biometrics and quantitative genetics work across crops—particularly chrysanthemum and other horticultural species—and built breeding apps and pipelines that integrate GWAS, genomic prediction and phenomics for multi-environment trials. His skill set spans R and Python programming, molecular marker development (arrays and micro-haplotypes), metabolomics analytics and practical deployment of genomic selection to deliver measurable genetic gain. A PhD-trained breeder who has supplemented his expertise with international courses at Wisconsin, Aarhus and Ghent, he also contributes software improvements upstream—having made localization and tax-region enhancements to a major open-source ecommerce project—illustrating a pragmatic blend of bioinformatics and applied development.
11 years of coding experience
Summer school, Marker-Assisted selection Crop Breeding, Certificate, Summer school, Marker-Assisted selection Crop Breeding, Certificate at University of Minnesota-Twin Cities, St Paul, USA
Summer Course, Advanced Course in Modern Breeding Techniques in Cassava (Plant Biotec and Plant Molecular Biology), Certificate, Summer Course, Advanced Course in Modern Breeding Techniques in Cassava (Plant Biotec and Plant Molecular Biology), Certificate at Ghent University, Belgium
Master of Science, Applied Genetics, Master of Science, Applied Genetics at University of Ibadan, Nigeria
Summer School, Statistical Models for Genomic Prediction in Animals and Plants, certificate, Summer School, Statistical Models for Genomic Prediction in Animals and Plants, certificate at Aarhus University, Denmark
Spring School Training Course, Plant Phenotyping and Phenomics, Spring School Training Course, Plant Phenotyping and Phenomics at Aberystwyth University, UK
Doctor of Philosophy - PhD, Plant Breeding and Genetics, Doctor of Philosophy - PhD, Plant Breeding and Genetics at West African Centre for Crop Improvement, University of Ghana, Legon
Certificate, Advanced Course: Statistical Tools in Plant Phenomic Data Analysis, Certificate, Advanced Course: Statistical Tools in Plant Phenomic Data Analysis at IAMZ Zaragoza, Spain
Summer school courses, Genomic selection and Statistical genetics, Summer school courses, Genomic selection and Statistical genetics at University of Wisconsin, Madison, USA
Bachelor of Agric. technology, Crop, Soil and Pest Management, Second class upper, Bachelor of Agric. technology, Crop, Soil and Pest Management, Second class upper at Federal University of Technology Akure, Nigeria
A customizable, open-source ecommerce platform built on WordPress. Build any commerce solution you can imagine.
Role in this project:
Back-end Developer
Contributions:7 commits, 5 PRs, 2 pushes in 2 years 2 months
Contributions summary:Olumide focused on enhancing the WooCommerce platform's internationalization and regional settings. Their contributions primarily involved modifying the `WC_Countries` class and related files to adjust address fields, such as making the city and postcode fields optional and hidden for specific countries. They also updated the list of countries using VAT and renamed tax labels, ensuring accurate tax representations for various global regions. The user's work also incorporated updates to country names, directly impacting how users experience the platform's locale-specific features.
Contributions:5 pushes, 4 branches in 2 years 2 months
wordpresswordpress-pluginwoocommerceecommerce
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