In this episode of the Computomics podcast, bioinformatics analyst Michelle Hagen describes how her work bridges biology and data science. As a data analyst in bioinformatics and plant breeding, Michelle transforms raw genetic and environmental data into insights that guide breeding decisions. She particularly enjoys the teamwork, problem-solving, and creativity involved in her job.

Michelle works on Computomics’ Climate-Smart Breeding technology xSeedScore and the Metagenomics Analysis Platform MORPHEUS. Her main tasks involve performing data quality control, running bioinformatics pipelines, and creating interactive dashboards for customers. Her work supports the development of climate-resilient, high-yield crops, and it helps breeders make data-driven breeding faster and more precise.