Kingsley obtained his Master of Engineering (MEng) degree in Computer Science from Virginia Polytechnic Institute and State University (Virginia Tech) in 2021. As a Graduate Research Assistant, he helped design algorithms for fundamental problems in computer science and complex networks. The focus of Kingsley’s MEng degree was in data analytics and machine learning. Kingsley received his Bachelor of Science degree in Computer Science from Saint Leo University in 2019. Throughout his undergraduate and graduate years, Kingsley had a number of summer research internships at premier research institutions and laboratories. Some projects he worked on includes multi-model information fusion machine learning methods for reactor facility state estimation at Oak Ridge National Laboratory and creating tools for analyzing the physics behind electro-aerodynamic propulsion devices at MIT.
Kingsley’s focus as ORNL will be architecting, developing, deploying, and maintaining operationally stable data pipelines. These pipelines will carry vitally important telemetry, log, and metrics information in real time from the world’s fastest supercomputers to expose the inner workings of these scientific instruments for operational, strategic, and scientific decision making.