Summary
Robert Shrote is a graduate student researcher and plant geneticist with 11 years of hands-on breeding and quantitative genomics experience focused on developing next-generation crops. Based at Michigan State University, he designs and implements genomic selection, mating optimization, and simulation software (in Python) to improve multi-objective breeding decisions, blending statistical modeling with algorithms like genetic algorithms and hill-climbing. His field experience ranges from coordinating large-scale corn and sorghum trials and disease ratings to leading pollination crews, giving him a rare mix of computational and practical breeding skills. He has applied mixed models and genomic prediction to tens of thousands of yield records and used bioinformatics tools (e.g., BWA, TASSEL, GAPIT) to support GWAS and functional follow-ups. Robert’s work aims to translate simulation-driven optimization into deployable breeding criteria, and he brings both lab-level molecular genetics and large-plot operational insight to breeding program improvement.
11 years of coding experience
2 years of employment as a software developer
Zionsville Community High School
Bachelor’s Degree, Plant Genetics, Breeding, and Biotechnology, 4.000, Bachelor’s Degree, Plant Genetics, Breeding, and Biotechnology, 4.000 at Purdue University
Doctor of Philosophy - PhD, Plant Breeding, Genetics, and Biotechnology, Doctor of Philosophy - PhD, Plant Breeding, Genetics, and Biotechnology at Michigan State University
English, Spanish