This REU project focuses on the data-driven discovery of structures using machine learning. The structures of interest include symmetries, governing equations, conservation laws, and integrability. Students will develop and implement data-driven methods, guided by mathematical theory, to explore how data contributes to scientific discovery and engineering applications.