Andrew joined CASC as a staff scientist in 2019. He works on a variety of projects involving numerical methods for PDEs, high-dimensional function approximation, computational geometry, and machine learning. Prior to joining CASC, Andrew was an Associate Professor of Mathematics at the University of Arizona. More about his current and prior research can be found at https://akgillette.github.io/