As one of the top database research groups in the world, the Penn Database Group has made many fundamental contributions to the field — particularly in areas relating to scientific data management, Web data management, distributed data sharing, data provenance, and machine learning systems. Our research spans from theory to systems, AI, and applications, and it connects to other research areas within Penn’s CIS Department (such as machine learning, programming languages, logic and computation, computer networks, distributed systems, and approximation algorithms). Within the University, we also collaborate frequently with the AIRFoundry, the Institute for Biomedical Informatics, the Center for Neuroengineering and Therapeutics, the ASSET Center, and the Warren Center for Network and Data Science. Our alumni are faculty in universities like U Washington, U Edinburgh, Duke U, IIS-Bangalore, U Toronto, and more; researchers with companies like Facebook-Meta, Amazon Web Services, and Google; and engineers all across tech.
Congratulations to Professor Ryan Marcus, for receiving a 2025 Google ML and Systems Junior Faculty Award. This is a recognition of both the promise and impact of Ryan’s work on using machine learning techniques to Read more…
This year, at VLDB 2025, Penn will be well-represented with a variety of papers. CausalMesh: A Causal Cache for Stateful Serverless Computing: Haoran Zhang (University of Pennsylvania); Shuai Mu (Stony Brook University); Sebastian Angel (University Read more…
The Penn Database and Data Systems Group is well-represented at SIGMOD 2025! At the aiDM workshop, co-chaired by our own Ryan Marcus, there are two papers: At the main SIGMOD conference, the following papers will Read more…
The Penn Database Group is excited to move into Amy Gutmann Hall for the Spring! All faculty and students will be affiliated with the new lab space on the 4th Floor.
We are excited to announce our new AIRFoundry project: a collaboration that spans Penn Engineering and the Perelman School of Medicine. Our vision is to use data integration and AI techniques to accelerate the process Read more…
