I work on the development of predictive atomistic materials modeling capabilities enabled by extreme scale computing platforms. This involves both the development of more accurate interatomic potentials and also the development of better algorithms for evaluating these potentials on advanced computing platforms. I lead the development of both the LAMMPS molecular dynamics (MD) package and the FitSNAP package for training machine-learning interatomic potentials.