Many stars, including our own Sun, pulsate in a great number of distinct and observable oscillation modes simultaneously. Tracing the deep stellar interior before appearing at the surface, pulsations bring information to light about the otherwise opaque stellar matter. The study of these pulsations is called asteroseismology. In this talk, I will show how asteroseismology coupled with machine learning can be used to constrain the ages of stars—and reveal their internal structure. I apply these techniques to measure the speed of sound throughout the cores of two stars observed by Kepler, and find a disagreement between theory and observation.