Biomedical Informatics Group 🧬

We are a research group in the School of Informatics at the University of Edinburgh, developing statistical and machine learning methods to better understand human disease.

Our research spans:

• Multimodal and multi-omic learning — integrating molecular and clinical data to understand disease and patient differences.
• Biomedical language models — extracting knowledge from scientific literature and clinical text, and exploring reliable clinical reasoning.
• Graph and network methods — connecting biological knowledge with patient data for interpretable analysis.

Our applications include cancer, Parkinson’s disease and genetic developmental disorders.

This Hugging Face organisation is a home for models, datasets and demos supporting our research.

Group website · Publications