Infinidata Lab at TU Delft builds data systems for the age of AI and quantum computing — bringing machine learning to the data lake, and reinventing data management for quantum processors.
Everything we build is a data system. We push in two directions — making data systems work for AI, and inventing data systems for quantum computing.
Data Systems for AI
We bring machine learning to the data lake — integrating scattered data into training sets, discovering and serving models, and generating synthetic data across silos.
Data Systems for Quantum Computing
We reinvent data management for quantum computers — simulating circuits inside a database, compiling quantum queries, and managing data in the NISQ era.
Model Lake
Amalur explores the convergence of data integration and machine learning — automating how scattered training data across silos is integrated for downstream models. It is the foundation of the group’s Model Lake vision, where heterogeneous data and rich model zoos meet in one place.
Synthetic data
SiloFuse generates cross-silo synthetic tabular data using latent diffusion models, so organisations can share realistic data without ever exposing raw, feature-partitioned records.
Time series
WaveStitch performs flexible and fast conditional time-series generation with diffusion models, stitching together realistic signals under user-specified constraints.
LLM serving
TranSQL serves large language models with relational queries — compiling model inference to SQL so that LLMs can run inside a database engine, even on low-resource hardware.
We're always looking for sharp PhD and MSc students. Thesis topics and open positions are posted year-round.
See open positions