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.
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Michelle Hagen is a Bioinformatics Analyst at Computomics. She holds a Bachelor's degree in Biomedical Sciences from Reutlingen University and a Master's degree in Bioinformatics & Systems Biology from Justus Liebig University Giessen and the University of Applied Sciences Mittelhessen. She joined Computomics in 2021 as an intern and master's student, and has been working full-time since 2023. Her work focuses on metagenomics customer projects, development of the MORPHEUS metagenomics pipeline and dashboard, as well as xSeedScore projects and dashboard development for xSeedScore database. In her free time, she enjoys running and creative projects at home. |
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