The DREAMS project uses large suites of comprehensive galaxy formation simulations to study the nature of Dark Matter. By executing simulation suites that include changes to the initial conditions, galaxy formation astrophysics, and particle physics models, we can utilize Machine Learning to isolate the impact of Dark Matter. In this way, we can identify promising avenues for discovering the fundamental properties of Dark Matter with astrophysical observables.