CV

Education

PhD in Computer Science, Durham University

2019-2024

• Thesis topic: “Reformulation and Decomposition: Multitask learning approaches to Long Document Problems”.
• Developed methods to apply LLMs to very long documents in both multitask and multimodal settings.

MEng in Computer Science, Durham University

2014-2018

• Published my work on Native Language Identification.
• BCS Chartered Institute for IT Prize - Awarded for being the top performing Masters student in Computer Science

Experience

Senior Research Associate, Durham University

2025-

• Working in a multidisciplinary team to apply NLP methods to monitor the quality of hospital discharge notes.
• Created tools and methods which enable clinicians to more effectively communicate, improving patient outcomes.
• Independently led a team developing fundamental ML methods - a novel multimodal approach which has been accepted at ICCV 2025

Senior Data Scientist, Evergreen Life

2025-

• Working at the intersection of research and industry, building new models to analyse electronic health records.
• Developed methods to automatically triage patient requests in GP practices.

Post Doctoral Research Associate, Durham University

2023-2025

• Worked closely with veterinarians from industry to use LLMs to understand discussions on veterinary message-boards.
• Developed methods to extract diseases from unstructured case discussions and match them to custom veterinary vocabularies (similar to SNOMED/UMLS).
• Built tools which enable new trends in diseases and treatments to be identified, and to facilitate more productive discussions between veterinary professionals with problematic cases.

Data Scientist, Caspian

2018-2023

• Researching how machine learning techniques can help solve NLP problems in the anti-money laundering (AML) sector, including information extraction from large unstructured documents.
• Role involved applying research techniques to industry, including developing methods for managing and monitoring models in production.