AI Solutions Architect @ Cray

Charles Siegel is an AI Solutions Architect specializing in Deep Learning for Cray. He develops models and training for Cray, as well as helping customers get the most out of Cray systems for AI. Before joining Cray, he did research on Deep Learning in High Performance Computing at Pacific Northwest National Laboratory and before that he did a postdoc in pure mathematics at the University of Tokyo.