• Research Highlights

Programme 5

AI-Assisted Scalable Data Analytics for Global Health Protection

A suite of scalable data analytics and computational and statistical methods for improving healthcare will be developed, consisting of three components:

(i) An advanced data analytics framework to accelerate the capabilities of ‘omic’ bioinformatics processing tools. The aim will be to reduce the time required for analyzing data and address the computational challenge of providing routine and timely analysis of large population-scale ‘omic’ datasets and other data;

(ii) A set of big-data software tools that can automatically extract uniformly processed molecular and non-molecular biomarkers, and harmonize these with large public and private databases. Innovative statistical methods will be developed to integrate data from different datasets, with the goal of identifying robust biomarkers for predicting global health risks; and

(iii) A set of advanced artificial intelligence (AI) methods and software tools that can predict health risks by using a multitude of data that span molecular, cellular, environmental, diet, clinical, and global population health levels. Tailored AI models will be developed, such as multi-level scalable risk scores, that are robust and interpretable.

Scientific Leadership

  • Dr Joshua Ho

    Lead Scientist

  • Dr Ellis Patrick

    Co-Principal Investigator
    Senior Lecturer, School of Mathematics and Statistics, The University of Sydney

  • Dr Garth Tarr

    Co-Principal Investigator
    Senior Lecturer in Statistics and Data Science, School of Mathematics and Statistics, The University of Sydney

  • Professor Jean Yang

    Co-Principal Investigator
    Professor, School of Mathematics and Statistics, The University of Sydney

  • Dr Jinman Kim

    Co-Principal Investigator
    Associate Professor, School of Computer Science, The University of Sydney

  • Dr Pengyi Yang

    Co-Principal Investigator
    Senior Lecturer, School of Mathematics and Statistics, The University of Sydney

  • Professor Stephen Simpson

    Co-Principal Investigator
    Professor, School of Life and Environmental Sciences, The University of Sydney

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