Cathy Westhues is a Senior Data Scientist with six years of experience at the intersection of machine learning, cloud engineering, and crop science, currently applying her expertise to scalable genomic prediction and climate-aware agricultural solutions. She has a PhD in Plant Breeding (summa cum laude) and a track record of turning complex genotypic and environmental data into production-ready pipelines using tools like GCP, Python and R. Cathy has worked across academia, startups, and industry—collaborating with plant breeders, software engineers and researchers—to deliver actionable insights in agile settings. Her background includes developing environmental data pipelines and ML methods for predictive breeding, and she was recognized as one of the most inspiring Gen Z employees in the EU seed sector. Based in Göttingen, she blends rigorous quantitative genetics training with practical cloud-native implementation skills, often translating subtle environmental covariates into improvements in agronomic trait prediction.
6 years of coding experience
2 years of employment as a software developer
Preparatory Class (Prépa BCPST), Biology/Biological Sciences, General, Preparatory Class (Prépa BCPST), Biology/Biological Sciences, General at Lycée Saint Louis
Erasmus semester, Plant Breeding, Erasmus semester, Plant Breeding at University of Hohenheim
Engineer's degree and Master degree, Agronomy and Crop Science, Engineer's degree and Master degree, Agronomy and Crop Science at AgroParisTech - Institut des sciences et industries du vivant et de l'environnement
Doctor of Philosophy - PhD, Plant Breeding, summa cum laude, Doctor of Philosophy - PhD, Plant Breeding, summa cum laude at The University of Göttingen
Contributions:1 release, 302 commits, 1 PR in 2 years 1 month
metpredictionsmachine-learninganalyses
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