Resume
Academic Achievements
- - Papers: NAACL 2025 System Demonstrations Paper; EACL 2024 System Demonstrations Paper; CVPR 2025 Workshop (Vision Language Models For All) Paper
- - Project Contributions: FastNet, prompto, Rough Paths, IceNet, SigMahaKNN, nlpsig, sig-networks, etc.
- - Awards: Most Promising Award at C4AI's Expedition Aya challenge
- - IceNet was nominated for the Arctic Circle's Frederik Paulsen Arctic Academic Action Award
Research Experience
- - Current Research Projects: FastNet - Graph Neural Network for medium-range weather forecasting; prompto - open-source software package for reproducible experiments on Large Language Models at scale; Rough Paths - development of Rough Path theory and its applications; IceNet - probabilistic deep learning sea ice forecasting system
- - Other Projects: Maya - Multimodal Aya (Cohere For AI's Expedition Aya 2024 project); Reginald - a friendly Turing Slack bot
Education
- - PhD in Statistics from the University of Warwick, supervised by Professor Gareth Roberts and Professor Murray Pollock
- - Undergraduate: MMath Mathematics degree from the University of Leeds, awarded the Royal Statistical Society Prize
Background
- - Research Interests: Applying machine learning to environmental and sustainability problems, end-to-end machine-learning weather forecasting, foundation models for Earth systems
- - Professional Field: Statistics and Machine Learning
- - Brief Introduction: Currently a researcher at The Alan Turing Institute, focusing on end-to-end machine-learning weather forecasting.
Miscellany
- - Personal Interests: Participated in the Maya project, which won an award at C4AI's Expedition Aya challenge; developed a friendly Turing Slack bot named Reginald