Michael Ringenburg is a principal engineer and lead architect in the Artificial Intelligence and Advanced Productivity group at Cray, where he focuses on enabling highly-productive data science and converged AI/simulation workflows on Cray systems. He has a keen interest in making HPC systems easier to use and enabling faster time-to-insight. Michael studied computer science at the University of Washington, where he received his PhD in 2014. Prior to that, Michael worked on compilers for the Cray XMT system.
Big Data Analytics
HPC Centre Planning and Operations
Scientific Software Development
AI/Machine Learning/Deep Learning