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
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
ClawVM: Harness-Managed Virtual Memory for Stateful Tool-Using LLM Agents
2026EuroMLSys 2026
Mofasshara Rafique, Laurent Bindschaedler
Rebooting Microreboot: Architectural Support for Safe, Parallel Recovery in Microservice Systems
2026ARCS 2026
Laurent Bindschaedler
Latest News
Updates from the Data Systems Group
The 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
EventKeynote at Green AI 2026 in Copenhagen
Laurent is giving a keynote at the 1st Workshop on Green AI in Copenhagen on May 8, 2026: "The Case for Deaths Per Token."
April 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!
Get in Touch