I am a PhD Fellow in the Machine Learning Group at the SFI Visual Intelligence centre, UiT – The Arctic University of Norway (March 2026–present). My doctoral research focuses on weather forecasting models, neural operator learning, and continual learning.
- 🌦️ Weather Forecasting Models: Developing and adapting deep learning models for numerical weather prediction, exploring hybrid physics-informed and data-driven approaches.
- 🧮 Neural Operator Learning: Investigating operator learning frameworks (e.g., FNO, DeepONet) for learning solution operators of PDEs, with applications in climate and fluid dynamics simulation.
- 🔄 Continual Learning: Designing machine learning systems that can incrementally acquire knowledge from non-stationary data streams without catastrophic forgetting.
- ✉️ Email: siyan.chen@uit.no
- 🏛️ Institution: UiT – The Arctic University of Norway
- 📍 Location: Tromsø, Norway
- ⌥ GitHub: github.com/chensy618
Feel free to explore the code, follow updates, or get in touch!