deeplearninggroupphoto2018-2.jpg

photograph of Four members of the PICSciE-affiliated research team that designed the experiments and developed the FRRN code

Four members of the PICSciE-affiliated research team that designed the experiments and developed the FRRN code: Chief architect of the FRNN is Julian Kates-Harbeck (inset photo), a graduate student at Harvard University and a DOE Office of Science Computational Science Graduate Fellow; Eliot Feibush (standing, center), a computational scientist and experienced data analyst at PPPL, Dr. Alexey Svyatkovskiy (seated),  a deep learning/AI expert and collaborator, and Dr. William Tang, lead researcher. Photo credit: Elle Starkman, Princeton Plasma Physics Laboratory