Learned Database Components
Developing AI-powered database systems that learn and adapt to optimize query performance, cost estimation, and system configurations automatically.
Welcome to my academic homepage. I am a passionate researcher working at the intersection of AI and cloud databases, specializing in learned database components, foundation models, and query optimization. - Sportive, Tech-Nerd, Christian
I am a Doctoral Researcher in the Systems Group at TU Darmstadt, working on learned database components. My research focuses on leveraging AI to improve database performance, covering areas such as cost estimation, query optimization, advisory systems, and foundational AI research on query-plan representation learning. My long-term goal is to develop a zero-shot database management system that can automatically optimize for new hardware and databases right out of the box.
Since March 2022, I have been a PhD student in the Data Management group of Prof. Binnig. I completed both my Bachelor's and Master's degrees in Computer Science at TU Darmstadt, with a subsidiary in Business & Law. During my studies, I worked on various topics in database and performance modeling, including a novel approach for executing OLTP transactions on GPUs, a learned empirical performance modeling system, and intra-transaction parallelism for TPC-H workloads.
During 2023 & 2024 I was part of Systems Research at Google, where I worked on Foundation Database Models—models designed to generalize across tasks, workloads, and database systems (CIDR’25).
Developing AI-powered database systems that learn and adapt to optimize query performance, cost estimation, and system configurations automatically.
Creating universal AI models that can generalize across different database systems, workloads, and optimization tasks without task-specific training.
Optimizing database performance in cloud environments through intelligent resource allocation, query planning, and adaptive system configurations.
AIDB@VLDB, 2025
Best Paper Award
35th IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021
B.Sc. thesis, Technische Universität Darmstadt, 2019