• BIFOLD, research into the scientific foundations of Big Data and Machine Learning
• DAPHNE, open and extensible systems support for integrated data analysis pipelines that combine Data Management, High Performance Computing and Machine Learning
• FONDA, methods for increasing productivity in the development, execution, and maintenance of Data Analysis Workflows 

Please check out our project page on GitHub for more information on current and recent projects. 

• InferDB : a framework for approximating end-to-end inference pipelines using indexes
• Stork : a system for automated pipeline analysis, transformation, and data migration
• MMlib : a library for managing deep learning models
• Skyrise : a distributed, elastic query engine, built on serverless cloud infrastructure
• Hyrise : an in-memory database system
• PerMA-Bench : a benchmark framework for persistent memory access
• Viper : a hybrid PMem-DRAM key-value store
• Desis/Deco/Dema : a decentralized stream processing system to push down computations from center nodes to edge devices