A California teenager leveraged machine learning to identify 1.5 million previously undetected space objects within NASA's NEOWISE archive. Matteo Paz developed an AI-driven anomaly detection pipeline during a Caltech summer program, transforming astronomical data analysis. His peer-reviewed discovery, now published in The Astronomical Journal, demonstrates how AI can unlock hidden insights in massive scientific datasets.