Katy Craig’s research considers questions at the intersection of machine learning and partial differential equations. Viewing a dataset as a finite dimensional sampling of a continuum ground truth, Craig studies the behavior of clustering algorithms at the continuum level, gaining insight into their dynamics, rate of convergence to equilibrium, and stability with respect to model parameters.