Complicated physical systems like fluid flow are oftentimes poorly understood theoretically, but surely we can count on the physics department to have enough funding to do some outrageous experiments for us. In this talk, I will discuss data-driven recovery of linear hyperbolic PDEs, which are a priori unknown, by approximating their Green's functions, and how detecting the rank of such an operator plays an important role.