Research portfolio

Research Projects

Research at the intersection of networks, artificial intelligence and human health.

Core research

Current research connecting networks, AI and biomedical data to mechanisms and therapeutic opportunities.

Connecting molecular interactions, disease mechanisms and clinical phenotypes to improve biomedical prediction.

Developing interpretable and generalizable AI approaches for molecular, clinical and population health data.

Combining network medicine, machine learning and experimental evidence to identify therapeutic opportunities.

Methods for turning transcriptomic and multi-omic data into reproducible, interpretable biological networks.

Investigating how genetics, nutrition and social context interact to shape health across populations.

Collaborative applications of network methods across cognition, mental health, ecology and microbiomes.

Studying how biological and symptom networks can improve our understanding of mental health and cognition.

Using network science to study microbial communities, ecological interactions and environmental change.