This $415,181 project grant from the National Science Foundation Division of Astronomical Sciences will fund collaborative research between Michigan State University and the University of Virginia to analyze data and model stripped supernovae. The researchers will analyze data from a large set of stripped supernovae and model the data using radiative transfer software called TARDIS in combination with machine learning emulators. They aim to resolve controversies in the supernova community regarding stellar progenitors and explosion parameters. The work directly supports the Mathematical and Physical Sciences program's goals of advancing scientific knowledge and understanding of major problems. Additionally, the lead investigators will collaborate with two educational programs to involve students in research projects using TARDIS code and a widget comparing simulations to observed supernova spectra, with the aim of increasing participation of underrepresented groups in STEM fields. The award was issued on September 1, 2022 for a three-year period ending August 31, 2025.