Shu Chen
Computer Science PhD Student at Brown University, focusing on the intersection of AI and database systems.
Research Highlights
AI-Enhanced Data Systems
Building next-generation data processing engines that seamlessly integrate with AI models.
Machine Learning Systems
Developing efficient and scalable systems for ML model training and inference.
Latest Updates
March 20, 2024
VectraFlow: Bridging AI and Database Systems
I’m excited to share our ongoing work on VectraFlow, a novel data-flow system that bridges the gap between traditiona...
Featured Project
VectraFlow
An AI-Augmented Data-Flow System that bridges the gap between traditional databases and modern AI capabilities.
- Unified Execution Model
- Advanced Semantic Operations
- Real-time Processing
