Matthew Norman leads the Advanced Computing for Life Sciences and Engineering Group in the National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory. Norman joined ORNL in January of 2011 after earning his Ph.D. from North Carolina State University in Atmospheric Science. His Ph.D. work involved developing a new numerical algorithm to discretize the stratified Euler equations of atmospheric motion to achieve larger time steps and better performance on accelerated hardware. His advisor was Dr. Fredrick Semazzi, and Norman was awarded the Department of Energy’s Computational Science Graduate Fellowship. Currently, his research includes new discretizations for the stratified Navier-Stokes equations, development of performance portable C++ libraries, refactoring codes to run efficiently on GPUs, and investigating novel Machine Learning surrogate models for various atmospheric processes.