I am a research associate at the Alan Turing Institute, working at the intersection of AI and the natural world — from predicting tomorrow's weather to understanding the ecosystems beneath the ocean surface.
My current passion is AI for weather prediction. As part of the FastNet project — a collaboration between the Alan Turing Institute and the Met Office — I develop physically consistent, graph neural network-based models for global weather forecasting. I believe AI has a transformative role to play in how we understand and respond to our changing climate.
Beyond weather, my research spans marine biodiversity monitoring through AI-driven plankton classification, and AI applications in cancer research, with a focus on survival prediction in ovarian cancer using multimodal data.
Research Interests
- Machine Learning Weather Prediction
- Physics-informed Deep Learning
- Graph Neural Networks
- Environmental AI and Biodiversity Monitoring
- AI in Precision Medicine and Cancer Research
- Multimodal Data Integration
Hobbies & Interests
Outside of research, I find myself drawn to the same forces I study — hiking and gardening, finding inspiration in the natural world that motivates my work.