Research Associate

• In-database machine learning
• Automatic differentiation in code-generating database systems
• Higher-order SQL lambda functions
• Tensor and matrix computations for database systems
• Compiler infrastructures (MLIR) for query processing

Full list on dblp.

• Clemens Ruck, Maximilian E. Schüle: Functions Become Data (ACM SIGMOD International Conference on Management of Data (SIGMOD 2027))
• Clemens Ruck, Maximilian E. Schüle: Tracing the Chain Rule: Exploring Automatic Differentiation Inside a Code-Generating Database System (35th ACM International Conference on Information and Knowledge Management (CIKM 2026))
• Kevin Gutjahr, Clemens Ruck, Maximilian E. Schüle: DuoLingo-AutoDiff: In-Database Automatic Differentiation with MLIR (Workshop on Data Management for End-to-End Machine Learning (DEEM@SIGMOD 2025))

Clemens Ruck is a research associate at the University of Bamberg. His research focuses on in-database machine learning, in particular automatic differentiation and tensor computations within database systems. He received his bachelor's and master's degrees in Computer Science from the Technical University of Munich. In his bachelor's thesis (“Evaluation of Tensor Computation Libraries for Database Systems”) and his master's thesis (“Automatic Differentiation within an Open-Source Database System”), he already worked on integrating machine learning into database systems. Before joining the University of Bamberg in 2024, he worked as a research associate at Klinikum rechts der Isar in Munich and developed iOS applications in the medical and health domain.