About

I am a final-year DPhil student in the Machine Learning Research Group at the University of Oxford, and a member of the Autonomous Intelligent Machines and Systems Centre for Doctoral Training (AIMS CDT). I am supervised by Xiaowen Dong and Michael Bronstein.

My research is broadly focused on graph neural networks (GNNs) and LLMs, in particular:

• Message-passing neural networks, graph Transformers, and their properties
• Long-range interactions and the effective measurement of range in GNNs
• LLMs, particularly for long contexts
• AI for document processing, including OCR/transcription, particulary with multi-modal LLMs

I previously worked on the HumBug project, which uses deep learning to detect and identify mosquito species by their flight tone using budget smartphones. I completed my MEng in Engineering Science, specialising in information engineering, at the University of Oxford, and was supervised by Michael Osborne in my final-year project.

In my spare time I enjoy reading books, watching films, playing and GMing D&D and other TTRPGs, and exploring new pubs, especially those with real ale. I maintain a table of ratings and useful information about every pub in Oxford here.

02/03/2026: “Can Graph Foundation Models Generalize Over Architecture?” accepted to the ICLR-26 Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM) in Rio de Janeiro as a full-length PMLR proceedings paper.

02/07/2025: Started return internship in the Deep Learning team at QuantCo.

01/05/2025: “On Measuring Long-Range Interactions in Graph Neural Networks”, a co-first-authored paper with Jacob Bamberger and Scott le Roux, accepted to ICML 2025.

17/12/2024: Judge a Book by Its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription accepted to the AAAI-25 Workshop on Document Understanding and Intelligence (DocUI@AAAI-25) in Philadelphia.

10/06/2024: Started internship in the Deep Learning team at QuantCo working on DocAI and LLM long-context reasoning.

03/03/2024: Started Visiting Data Scientist internship at BCG X, working on the ‘Pathfinder’ flight schedule optimiser at British Airways.

06/08/2023: DRew covered in round-up blog post by @michael_galkin: Graph Machine Learning @ ICML 2023.

28/07/2023: DRew discussed in keynote talk by @mmbronstein at TAG-ML workshop at ICML 2023.

19/06/2023: Presented DRew to Learning on Graphs and Geometry (LoGG) reading group (recording here). Blog post based on DRew published on Towards Data Science.

23/04/2023: First-author paper, “DRew: Dynamically Rewired Message Passing with Delay”, accepted to ICML 2023.