Every person harbours a unique collection of microorganisms - the majority of which reside in the gastrointestinal tract - that influences nearly every aspect of human health. As such, the gut microbiome is emerging as a potential tool for the diagnosis and treatment of a wide range of diseases.
However, microbiome studies yield vast amounts of data, and the complexity of the microbiome makes it difficult to decipher interactions between microorganisms, host cells and environmental factors.
This project will integrate high-throughput metagenomic, metatranscriptomic and metabolomic techniques with advanced machine learning approaches to address this challenge, providing a comprehensive view of the microbial role in a range of human diseases.
Complementing these approaches, genome-based microscopy will be used to improve our understanding of complex host-microbe interactions. This holistic approach will help identify new disease biomarkers and therapeutic targets, and drive us closer to unlocking the potential of microbiome research in human health.
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