Gence Ozer is a Data Engineer who has completed his M.Sc. in Data Engineering and Analytics at the Technical University of Munich. He has previously worked in the AI startups INNOSPOT GmbH and Lifemote Networks, where he focused primarily on data collection and processing, web crawling and machine learning. In 2018, he collaborated with the Intel GEOPM team on the topic of predictive energy models of HPC runtimes. His research interests include operational data analytics, monitoring systems, machine learning, resiliency and energy efficiency of HPC systems.