
Data Systems Group
Max Planck Institute for Software Systems
Building next-generation systems for massive-scale data management and AI
About the Group
The Data Systems Group (DSG) at MPI-SWS conducts cutting-edge research in systems for large-scale data management and AI. We focus on building practical, high-performance systems that address real-world challenges in data processing, machine learning, and distributed computing.
Our research spans systems for big data analytics, machine learning infrastructure, graph processing, and decentralized technologies. We collaborate with industry partners and academic institutions worldwide.
Learn more about our team
Laurent Bindschaedler
Research Group Leader
Leading research in data systems, machine learning infrastructure, and distributed computing.
Personal websiteResearch Areas
Our research spans multiple areas at the intersection of systems and machine learning
Complex AI Systems
Building agentic AI infrastructure, LLM caching frameworks, code intelligence systems, and LLM-enhanced databases.
Learned Systems
Developing learned indexes, ML-enhanced database components, and benchmarks for evaluating learned systems.
Graph Systems
Scaling GNN training, building unified graph processing frameworks, and optimizing graph partitioning strategies.
Blockchain & Web3
Researching blockchain analytics, DAO governance, decentralized prediction markets, and Web3 infrastructure.
Recent Publications
Our latest research
Agent Flight Recorder: Tamper-Evident Audit Trails with On-Chain Anchoring for Long-Horizon Tool-Using Agents
2026BCCA 2026
Laurent Bindschaedler, Quentin Botha, Christoph Siebenbrunner
Bonded Recourse for Smart-Contract Settlement of Compensable Agent Side Effects
2026BCCA 2026
Laurent Bindschaedler, Quentin Botha, Christoph Siebenbrunner
The Invisible Lottery: How Subtle Cues Steer Algorithm Choice in LLM Code Generation
2026ICML 2026
Akanksha Narula, Mofasshara Rafique, Laurent Bindschaedler
Informed Search for Regular Path Query Reachability
2026GRADES-NDA 2026
Diego Rivera Correa, Laurent Bindschaedler
Latest News
Updates from the Data Systems Group
Invited Talk at DP2E-AI 2026 in Paris
Laurent gave an invited talk at the 2nd International Workshop on Distributed and Parallel Programming for Extreme-scale AI (DP2E-AI 2026) in Paris: "Fleets Without a Kernel: The Distributed Systems Substrate Agentic AI Is Missing."
June 2026
PublicationThe Invisible Lottery Accepted at ICML 2026
Paper on how incidental prompt cues steer algorithm choice in LLM code generation, even when every output passes the same tests, accepted at ICML 2026 in Seoul.
June 2026
PublicationInformed Search for RPQ Reachability at GRADES-NDA 2026
Paper on heuristic-guided search for in-memory regular path query evaluation to appear at GRADES-NDA 2026 in Bengaluru.
May 2026
Join Our Group
We are looking for motivated PhD students, postdocs, and interns who are passionate about building systems. If you are interested in joining us, get in touch!
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