Using LLMs to explore and analyse biological datasets

Join us for a conversation with Stephen Taylor, as he shows how Large Language Models (LLMs) can be used to explore and analyse biological datasets.

Understanding how diseases work and finding new treatments often involves working with massive, complex biological datasets. Traditionally, this required deep expertise in both biology and programming. Stephen and his team at the Centre for Human Genetics have developed a Multi-Dimensional Viewer (MDV) to simplify this process, and now, with advances in AI, their new tool, ChatMDV, allows anyone to explore and analyse these datasets using everyday language. This opens the door for wider participation in discoveries, improves transparency, and accelerates progress toward new therapies.

Stephen Taylor is Head of Integrative Computational Biology at the Centre for Human Genetics in the Nuffield Department of Medicine. The aim of his group is to develop state-of-the-art computational methods to break down barriers to aid the integration, visualisation, and analytics of biological datasets.

• Moderated by Xavier Laurent, Research Member of Common Room and Lead Training Coordinator at the AI Competency Centre.

All event attendees are invited to arrive from 5pm, when tea and coffee will be served, and to stay for a drinks reception, which will immediately follow the event.

Bletchley Park Week:

This event is part of our annual Bletchley Park Week (22-27 February) programme of events celebrating a partnership between Kellogg College and Bletchley Park. This year’s theme is: “The Age of AI”.

Open to: Members of Kellogg College, Oxford University members, the public,