During the Kepler Space Telescope's 9-year mission, it discovered over 2,300 planets around other stars but could not document information about the angle between the orbital planes of planets in the same stellar system. As scientists have examined the Kepler data, these angles between exoplanetary orbits, termed mutual inclinations, have been largely overlooked because they typically cannot be fully inferred, even though they provide valuable insight into the formation and evolution of planetary systems. Mutual inclinations for the entire Kepler population have been estimated by a variety of researchers, but there are still many questions about whether or how the mutual inclination distribution depends on the system architecture. We are exploring what mutual inclination information can be derived from light curves of individual Kepler systems of multiple transiting planets. The strongest information comes from the ~26 systems with clear Transit Duration Variations (TDVs)–variations in the length of time a planet passes in front of its star–which likely come as the result of detectable nodal precession due to mutual gravitational interactions (Kane et al. 2019). Our photodynamical model, PhoDyMM, has been used to explicitly study mutual inclinations on unusual systems before, but most light curves are studied by fixing all longitudes of the ascending nodes to zero by default. Our project uses synthetic light curves of systems we create with known solutions to determine the accuracy and precision of our methods in determining mutual inclinations. Using synthetic light curves, we assess PhoDyMM’s ability to correctly infer mutual inclinations (and other parameters) under a variety of model assumptions and find it to be efficient and accurate. We will also present investigations of the Kepler-18 system.