Dr Ben Holgate is a Senior Research Fellow in AI Methods Applied to Health Records in the Department of Basic & Clinical Neuroscience at King's College London. Since 2023, he has worked with Prof Mark Richardson, Head of School (Neuroscience), in leading a research team in developing innovative new AI methodologies for epilepsy research. Ben and the team were the first researchers globally to publish on applying generative Large Language Models (LLMs) to extract epilepsy data from electronic health records. The team also developed a prototype multivariate treatment response prediction model that can determine whether a person with epilepsy is likely to experience an improvement in their seizures based on the antiseizure medications they are taking. Ben is a Co-Principal Investigator on a £1.4m, 2-year grant from the UK Medical Research Council to further develop LLM applications for epilepsy research. Prior to joining King’s College London, he was a Leverhulme Early Career Fellow at Queen Mary University of London and taught at the University of York. He also has a background in finance and the media.

Research interests

• AI Health
• Natural Language Processing
• Large Language Models
• Data Science
• Literature
• Computational analysis of texts

Expertise and public engagement

• Associate of the King’s Institute for Artificial Intelligence

Key publications

• Holgate B., 2025. Fine-tuning LLMs to Extract Epilepsy Seizure Frequency Data from Health Records. In Proceedings of the 24th Workshop on Biomedical Language Processing, ACL Anthology.
• Holgate et al., 2024. Extracting Epilepsy Patient Data with Llama 2. In Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, ACL Anthology.
• Holgate B., 2019. Climate and Crises: Magical Realism as Environmental Discourse. Routledge.

View all publications