Adam Festa is a senior computational geneticist and breeding design scientist with a PhD in Functional Genomics and over a decade applying data science to accelerate genetic gain in vegetable crops. At Bayer he co-leads the design and simulation of novel breeding programs, integrating genome-wide selection, marker-assisted strategies, and resource-constrained trait deployment to bring commercial traits to market faster. He builds bioinformatics tools and visualization pipelines that translate large genomic datasets into actionable trait-prioritization and deployment plans. Based in Florida, he blends classical plant breeding insight with machine learning to optimize workflows for trait stacking and germplasm improvement. Notably, his work emphasizes computer-simulated program evaluation—using in silico experiments to balance genetic gain, diversity, and practical resource limits.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Functional Genomics & Plant Breeding, Doctor of Philosophy (Ph.D.), Functional Genomics & Plant Breeding at North Carolina State University
Predicting NCSU Coastal Breeding Values using RNA Seq data
Contributions:1 PR, 285 pushes, 1 branch in 4 years 10 months
breedingcoastalrna-seqrna-seq-dataseq
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Adam Festa - Sr. Breeding Design & Trait Integration Scientist