Summary
Eli Rodgers-melnick is a Senior Research Scientist with 11 years of experience applying statistical machine learning and deep learning to plant breeding, quantitative genetics, and molecular biology. Trained as a forensic biologist and a Ph.D. in Genomics and Evolutionary Biology, he transitioned into data-driven plant science during a Cornell postdoc studying recombination, chromatin accessibility, and genomic prediction in maize. At Corteva Agriscience he leads a team that integrates cell-to-satellite data, decades of field trials, and millions of genotypes to accelerate genetic gain across changing environments. His work uniquely blends deep domain expertise in evolutionary genomics with practical predictive and inferential modeling for breeding decisions. Notably, he has developed methods that incorporate genome annotations as priors to improve genomic selection and to relate recombination patterns to deleterious allele dynamics. Based in Johnston, Iowa, he is skilled at translating complex biological questions into scalable analytics that influence breeding programs at production scale.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Genomics and Evolutionary Biology, 4.0, Doctor of Philosophy (Ph.D.), Genomics and Evolutionary Biology, 4.0 at West Virginia University