My research focuses on understanding how galaxies are connected to the dark matter halos they live in, using observations across wavelengths. To do this, I calibrate diffsky, a new forward-modeling framework developed by Andrew Hearin, using multiple observational datasets. diffsky begins with a model of how dark matter halos grow over time and connects this growth to the star formation histories of the galaxies inside them. These star formation histories are then used to predict how the galaxies' light changes over time by modeling their spectral energy distributions. Finally, diffsky accounts for observational effects and selection biases to predict the quantities we actually observe, such as photometry, full galaxy spectra, and emission-line fluxes. Much of my diffsky calibration work resides in the fully public diffhtwo library.