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 accelerate tasks in data management!
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 of Pennsylvania); Vincent Liu (University of Pennsylvania). In stateful serverless computing, workflows are broken into 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 be presented. Low Rank Learning for Offline Query OptimizationZixuan Yi (University of Pennsylvania)*; Yao Tian 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 by which scientists can develop new RNA therapies and treatments — for medicine, crop engineering, Read more
This August, VLDB 2024 will be in Guangzhou, China! Penn will again be well-represented, with 3 papers in the Research Track: In Towards Full Stack Adaptivity in Permissioned Blockchains, PhD student Chenyuan Wu, postdoc alumnus Mohammad Javad Amiri (Stony Brook University), undergrad student Haoyun Qin (Class of 2025), PhD student Read more
This June we were excited to host SIGMOD 2022, the top database conference, at the Pennsylvania Convention Center in Philadelphia! This was the first in-person/hybrid database conference in North America since the pandemic began. It was exciting to see friends old and new. Several Penn Database Group alumni were able Read more