Diane Feddema is a principal software engineer at Red Hat Inc, in the Performance and Scale team. Diane is currently focused on developing and applying machine learning techniques for performance analysis using hardware accelerators, automating these analyses and displaying data in novel ways. Previously Diane was a performance engineer at the National Center for Atmospheric Research, NCAR, working on optimizations and tuning in parallel global climate models. She has a BS and MS in Computer Science.