Summary
Nichita Uțiu is a data scientist specializing in quantitative genetics with 15 years of experience applying machine learning and software engineering to plant breeding and bioinformatics. Based in Amsterdam, he builds end-to-end genomic prediction pipelines that integrate genomics, digital phenotyping and trial management, while leading product ownership and agile processes across multidisciplinary teams. He combines strong Python engineering, reproducible workflow design and dashboard architecture to make complex genetic models actionable for breeders. Past roles at Bayer, VU Amsterdam and research institutes show a blend of applied R&D, parallel experiment engineering and ML for data-scarce biology (e.g., epitope prediction and multitask tweaks). He also has hands-on cloud and data-engineering experience with BigQuery and Google Cloud from commercial projects, enabling robust data ingestion and orchestration. Colleagues rely on him to translate breeding domain needs into practical, reproducible computational products that accelerate varietal development.
15 years of coding experience
4 years of employment as a software developer
High School, Mathematics and Computer Science, High School, Mathematics and Computer Science at Colegiul National Liviu Rebreanu Bistrita
Master's degree, Bioinformatics and Systems Biology, Master's degree, Bioinformatics and Systems Biology at Vrije Universiteit Amsterdam (VU Amsterdam)
Universitatea Babeș-Bolyai din Cluj-Napoca
Master's degree, Bioinformatics and Systems Biology, Master's degree, Bioinformatics and Systems Biology at University of Amsterdam
English, German, Romanian