Di Wu · Research Fellow @ University of St Andrews
“Learning makes you a student; creating makes you a researcher.” — My scientific twist on Mu Shen Ji
👋 About Me
I am a Research Fellow at the University of St Andrews, working at the intersection of machine learning systems and edge computing.
My research focuses on building efficient deep learning systems that optimize training and inference on resource-constrained devices, bridging cloud–edge intelligence for scalable and real-world AI deployment.
🏛️ Affiliations
🔹 Edge Computing Hub
Unlocking the scientific and societal opportunities of the next Internet frontier — Edge Computing.🔹 National Edge AI Hub
Developing Edge AI solutions for real-world industry and societal challenges.
🔬 Research Interests
⚡ Efficient Edge AI
- Optimizing AI workloads on resource-constrained devices
- Exploring model compression and adaptive learning for efficient training and inference
🔗 Federated & Distributed Learning
- Designing federated and collaborative learning paradigms
- Tackling computation and communication bottlenecks in decentralized AI systems
🤝 Let’s Connect
I’m open to collaborations and discussions on Edge AI, Federated Learning, and Efficient ML Systems.
📫 Reach out via