a 3D dust map to real data, profile the python code to minimize compute time, sprint with Juna What I want to learn: data viz with yt (3d rendering and sim reconstruction), limits of GP method with real data, more intuition for how approximate GP methods work What I’d like to chat about: interpreting structures in a 3D dust map, including velocity in the dust map, non-parametric representations of galactic potentials, inference of the MW halo shape/accretion history from stellar streams, structures in the CMD, modeling and interpreting the phase space distribution function of stars What I bring: GP 101 description, data-driven models, curiosity and optimism Lauren Anderson (Flatiron Institute)