Jan Kossmann

Jan Kossmann is a researcher affiliated with the Hasso Plattner Institute at the University of Potsdam, Germany. His work focuses on database systems, query optimization, and autonomous database management. He earned his PhD in 2023 with a thesis on unsupervised database optimization, including efficient index selection and data dependency-driven query optimization. His research explores topics like workload-aware indexing, reinforcement learning applications in database systems, and the development of frameworks for evaluating autonomous database technologies. Key collaborations include projects with Rainer Schlosser, Thorsten Papenbrock, and others, emphasizing experimental evaluations and system design. Notable contributions include the SWIRL reinforcement learning-based index selection framework and the 'Magic Mirror' tool for comparing index selection approaches. His publications span venues like VLDB, EDBT, and ICDE, reflecting his deep engagement with database theory and practical system implementation.