Modern data often contains hidden patterns that are hard to see directly, such as abstract shapes or latent networks, typical of biological systems. HIDT 2027 is a summer school that will train PhD students and postdocs to find and interpret such patterns by combining topology, statistics, and machine learning through lectures and hands-on projects with real data.