Join us as we introduce the Charles Perkins Centre Data Science Hub and showcase our first projects.

Discover how the Data Science Hub’s collaborative platform advances data-intensive research, builds capacity and shares knowledge. The event will highlight key achievements from projects of varying scale and share our vision to support EMCRs and accelerate research translation.

We invite you to meet our data scientists, explore opportunities for collaboration, and discover how to engage with us.

AGENDA

1) Welcome and overview of the Data Science Hub
Professor Jean Yang, Director of the CPC Data Science Hub

2) Case studies

Dr Asheeta Prasad | Spatial transcriptomic changes in schizophrenia in the midbrain.
This project investigated the spatial and molecular pathology of schizophrenia in the human midbrain using post-mortem tissue from schizophrenia and matched control cases. Spatial transcriptomic data generated with 10x Xenium were analysed to identify bulk, cell type-specific, and spatially localised gene expression changes within the substantia nigra.
Dr Søren Madsen | Genetic correlation among obesity traits in outbred mice
This project will showcase how quantitative genetics can be used to understand the shared genetic basis of obesity-related traits in outbred mice. The project uses genetic correlation to investigate how different metabolic and body-composition traits are connected through common genetic effects.
Dr Hiba Jebeile | Development of a risk-benefit framework for obesity treatment that considers eating disorder risk
This project showcases how a project can progress through our platform. Hiba first approached DASH to apply trajectory modelling methods to identify different trajectories of change in eating disorder risk scores during weight management interventions. As the research has developed, we have continued to collaborate with the team. The most recent project is to develop a risk-benefit framework to jointly model change in eating disorder outcomes and BMI during obesity treatment, which has also become an honours student project.
Matthew Taper | Deciphering Human Cardiac Ageing Through Multi-Omic and Spatial Profiling
This is the largest multi-omics study of human cardiac ageing to date, integrating molecular, cellular and spatial data to create an unprecedented map of how the heart changes across the lifespan. The team is working with the DASH to develop a major resources paper with a complementary online repository of the sequenced data.

3) Networking and refreshments

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The Data Science Hub is a collaborative partnership with the Charles Perkins Centre and Sydney Precision Data Science Centre, co-funded by the Charles Perkins Centre's Jennie Mackenzie Research Fund, the Faculty of Medicine and Health and Faculty of Science. The Data Science Hub advances data-intensive research with a direct translational impact in biomedical, metabolomics health, epidemiological research, and beyond. We specialise in context-specific data analysis for high-throughput biomedical data generated by scientists.

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