About

Work Experience

• Research Fellow, Centre for AI Fundamentals, 

  Jan, 2026 - Present

  Developing AI fundamentals and their applications to healthcare with Professor Sami Kaski.

  • Developing AI fundamentals including Bayesian inference, human-in-the-loop methods, and foundation models.

  • Applying fundamental AI methods to healthcare.

• Senior Research Associate, 

  Jan, 2025 - Jan, 20261 year

  Developed methods to monitor the quality of hospital discharge notes, enabling clinicians to communicate more effectively and improving patient outcomes.

  • Worked with clinicians from Salford Royal Hospital and a multidisciplinary team, producing multiple papers and contributing to a spinout company.

  • Built and led a team developing fundamental machine learning methods, leading to multiple papers including a novel multimodal approach presented at ICCV 2025.

  • Mentored Masters and Doctoral students, guiding research directions that led to publications in venues including EMNLP.

• Senior Data Scientist, 

  Jan, 2025 - Present

  Worked at the intersection of research and industry, building models to analyse electronic health records.

  • Developed methods to automatically triage patient requests in GP practices.

  • Developed methods to detect skin cancer in patient-taken images.

• Post Doctoral Research Associate, 

  Feb, 2023 - Jan, 20251 year 11 months

  Worked on a project exploring how techniques including large language models can solve veterinary problems.

  • Used LLMs to understand discussions on veterinary message boards.

  • Developed methods to extract diseases from unstructured case discussions and match them to custom veterinary vocabularies.

  • Built tools to identify longitudinal trends in diseases and treatments.

  • Supported productive discussions between veterinary professionals dealing with complex cases.

  • Managed communication and collaboration across an international multidisciplinary team.

• Data Scientist, 

  Jul, 2018 - Jan, 20234 years 6 months

  Researched how machine learning techniques can solve NLP problems in the anti-money laundering sector, including information extraction from large unstructured documents.

  • Applied research techniques to industry problems.

  • Developed methods for managing and monitoring models in production.

Projects Experience

• Automated patient discharge letter analysis

  - Present

  Developed and funded work on automated analysis of patient discharge letters to support cost-effective hospital audits and quality improvement projects.

• Veterinary clinical NLP

  - Present

  Built LLM-based tools to understand veterinary message-board discussions, extract disease mentions, match them to vocabularies, and identify longitudinal trends.

• Multimodal models for healthcare

  - Present

  Developed multimodal approaches combining clinical text and images for healthcare applications, including skin cancer classification.

Skills

Education

Awards

Publications