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In this dissertation, we present two separate contributions to the predictive modeling pipeline for incompressible turbulent flows. These contributions fall under two classic sub-categories: discretization and RANS closure modeling. We will discuss each topic separately, as well as how they relate to each other in the context of turbulence modeling. Our first contribution is a new class of numerical methods for incompressible Reynolds Averaged Navier-Stokes RANS models, where we introduce a hybridized discontinuous Galerkin method for the incompressible Reynolds Averaged Navier-Stokes equations coupled with the Spalart-Allmaras one equation turbulence model.