Josh Speagle is a 4th-year graduate student who works with a linear combination of Charlie Conroy, Doug Finkbeiner, Alyssa Goodman, and Daniel Eisenstein. His work broadly focuses on combining astronomy, statistics, and computer science to develop techniques to analyze large datasets in order to study stars, galaxies, and other astronomical phenomena. While his past work focused on better galaxy evolution and cosmology, more recently he has been interested in creating a data-driven model for our own Milky Way Galaxy that incorporates stars, interstellar dust and gas, and dark matter in order to reproduce observations across the electromagnetic spectrum. Since his interests require connecting theory, observation, computation, and statistics, he frequently collaborates with other researchers across a variety of (sub-)fields and tries whenever possible to make the tools/algorithms he develops available for use by other researchers and members of the public. His current codebase can be found here.