Explore the Hubble Image Similarity Project in this 30-minute conference talk by Josh Peek from the Space Telescope Science Institute. Delve into the application of astrostatistics and machine learning tools for astronomical image search, focusing on galaxy formation and evolution. Learn about the vast discovery potential in analyzing Integral Field Unit surveys, galaxy morphology, and outlier detection algorithms. Understand how data science tools can link observations with theoretical models, including cosmological hydrodynamical simulations and dark matter-only simulations. Discover the conference's aim to maximize the use of data-driven tools in understanding galaxy formation physics, emphasizing the translation of results to physical understanding. Gain insights into the sharing of expertise in data exploration and analysis tools, and participate in open discussions on their application to galaxy formation and evolution physics.