Damian Rouson is a Senior Scientist and the Computer Languages and Systems Software (CLaSS) Group Lead at Berkeley Lab. He researches parallel programming models for high-performance computing and deep learning. CLaSS develops the Caffeine parallel runtime library, the Inference-Engine deep learning library, and the LLVM Flang Fortran compiler. He teaches tutorials on the UPC++ template library and has researched multiphase, quantum, and magnetohydrodynamic turbulence. He holds a B.S. from Howard University and a M.S. and a Ph.D. from Stanford University, all in mechanical engineering. He received a 2020 Better Scientific Software Fellowship and a 2023 Energy Secretary’s Achievement Award.