My research combines precision stellar modeling, asteroseismology, and machine learning and artificial intelligence to understand how stars evolve and how they can be used to reconstruct the history of the Milky Way. I am particularly interested in how uncertain interior physics—especially convection and mixing—affects stellar lifetimes and age measurements. My group studies evolved and variable stars, develops new stellar models and computational inference tools, and applies them to problems ranging from the hidden companion of Betelgeuse to the formation history of the Galactic Bulge. My group is developing methods that use stellar oscillations to infer reliable ages for the enormous stellar populations that will be observed by TESS, Gaia, the Roman Space Telescope, and LSST. More information about my group and current projects is available at meridithjoyce.com.