Jayden Hooper is a Data Scientist at Noze Inc., where he is a key contributor to the team applying machine olfaction for medical diagnostics. His work involves architecting scalable systems and advanced models to decode disease biomarkers. He leads the development of a configuration-first machine intelligence library, designed to establish a robust and flexible framework for reproducible research in the field. As the primary data scientist for pivotal clinical studies in Breast Cancer and Tuberculosis, his research and analysis are integral to the development of non-invasive screening technologies. Mr. Hooper holds a Bachelor of Science in Computer Science from Victoria University of Wellington.