Alex Ogbonna is a Computational Breeding Scientist with over a decade of hands-on experience building and deploying breeding data platforms, developing breeding software, and applying statistical genetics and R-based workflows to dissect complex traits. He has led Breedbase development and high-dimensional phenotyping deployments across cassava, sweet potato, and yam breeding programs, collaborating with roughly two dozen programs across three continents. His PhD work at Cornell linked domestication-driven trait architecture changes to practical cassava breeding strategies, producing community resources like a cassava expression atlas and validated KASP markers for marker-assisted selection. At Inari and prior roles he has bridged genomics, data curation, and scalable analysis pipelines to deliver actionable solutions for breeding programs. Based in Ithaca, NY, he combines field-level breeding experience from Nigeria with advanced computational and experimental design expertise, making him adept at turning complex genetic data into deployable breeding tools.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BSc. Hons), Chemistry, Bachelor of Science (BSc. Hons), Chemistry at Imo State University
Master of Science (M. Sc), Analytical Chemistry, Master of Science (M. Sc), Analytical Chemistry at Michael Okpara' University of Agriculture Umudike
Doctor of Philosophy - PhD, Plant breeding and Genetics, Doctor of Philosophy - PhD, Plant breeding and Genetics at Cornell University
Contributions:2 PRs, 24 pushes, 2 branches in 5 years 3 months
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