Benjamin Hilprecht

Benjamin Hilprecht is a researcher at the Technical University of Darmstadt, specializing in database systems and machine learning integration. His work focuses on data-efficient learned database components, neural approaches for query optimization, and security in generative models. Notable contributions include the DiffML framework for end-to-end differentiable ML pipelines and SPARE, a neural model for relational databases.

He holds a PhD in Computer Science from TU Darmstadt (2022) and has collaborated extensively with Prof. Carsten Binnig on projects such as ReStore and DeepDB. His research interests span learned index structures, zero-shot learning in databases, and adversarial attacks on generative models.