Nathan Gödde’s research focuses on the development, automation and standardisation of stem cell-derived organoid models for academic and industry applications. His work integrates laboratory automation, high-content imaging and quantitative analysis to improve reproducibility, scalability and data quality in complex 3D systems. He has applied organoid and tissue models across cancer biology, infectious disease and developmental biology, with a strong interest in building robust human-relevant platforms that reduce reliance on animal models. A central focus is advancing automated workflows and quality frameworks that support organoids as reliable tools for discovery science, drug screening and translational research.