Shu Chen
I am a PhD student in the Department Computer Science at Brown University, where I’m advised by Prof. Ugur Cetintemel. I received my Master’s degree from University of Pennsylvania and my Bachelor’s degree from University of Waterloo. Prior to joining Brown University, I worked as a Software Engineer at Huawei and Tencent for three years.
My work has leveraged techniques from machine learning, data management systems, parallel and distributed systems. I am interested in machine learning for computer systems, especially database systems. The goal of my research is to enhance traditional core system components using ML.
News
- Jan 2025 - VectraFlow: An AI-Augmented Data-Flow System at NEDB DAY 2025 [Talk]
- Jan 2025 - VectraFlow: Bridging AI and Database Systems [Blog Post]
Research Projects
My current and past research projects include:
Deep Reinforcement Learning on Cache Replacement Algorithm
Developing intelligent caching strategies using deep RL techniques.Deep Learning on Cardinality Estimation
Improving query optimization through ML-based cardinality estimation.Deep Reinforcement Learning on Query Optimization
Enhancing query planning and execution using reinforcement learning.Key-Value separated LSM-tree
Optimizing LSM-tree structure for better performance in key-value stores.
Contact
If you are interested in my research, please email me at shu_chen@brown.edu.