Advanced Multiomics and Machine Learning for Predicting Treatment Outcomes in Inflammatory diseases
Supervisors
Dr Chris Mahony, School of Infection and Immunity, University of Glasgow
Prof James Brewer, School of Infection and Immunity, University of Glasgow
Collaborator: AstraZeneca
Summary
Why do our bodies become susceptible to multiple diseases as we get older? With the global population predicted to dramatically shift towards older ages in the coming century, this question is more urgent than ever. In joining this PhD project, you will test a major hypothesis in the field: that ageing related changes in specific tissue resident cell types determine who develops inflammatory disease and who responds to treatment. You will use single cell transcriptomic profiling of aged and diseased human tissues to identify genes, pathways, and cellular states that predict treatment outcomes. These signatures will then be validated in newly generated datasets, allowing you to directly test their predictive power. Working in close collaboration with AstraZeneca, you will contribute to a translational pipeline aimed at improving patient stratification and guiding more effective therapies for older adults. Throughout the project, you will gain expertise in bioinformatics, machine learning, and immunology, developing a versatile skill set at the interface of computational and experimental research. You will be based in the School of Immunity and Infection at the University of Glasgow, benefiting from strong supervisory support, regular postgraduate training, and extensive opportunities for professional and transferable skills development.
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