Funded by The Australian Research Council (Discovery Project)

Funding Amount: $482,133

Project start date: 2026

Researchers

  • Dr Hoang Linh Nghiem (CI), University of Sydney
  • A/Prof Francis Hui (CI), ANU
  • Dr Shila Ghazanfar (CI), University of Sydney
  • A/Prof Ying Xiang Rachel Wang (CI), University of Sydney

Project Description

This project aims to develop a suite of modern statistical theory and methods for sufficient dimension reduction in data exhibiting complex dependence structures. In doing so, it will address a pressing need for statistical tools that can accurately distil high-dimensional regression and classification relationships, with little to no loss of information, into results readily understood by domain experts. The project is expected to unlock valuable insights into how various spatial, temporal, and sampling processes operate together to drive dynamics in bioinformatics and social network data. This will provide important long-term benefits to enhance biological discovery and combat the spread of misinformation in online digital environments.

National Interest Statement

As the collection of high-dimensional datasets with complex dependencies in structure, space, and time becomes increasingly common, there is a critical need for statistical methods that can distil the most relevant information from data into readily interpretable and actionable results, and at the same time preserve the ability to make reliable predictions. This project will develop a suite of cutting-edge statistical dimension reduction methods capable of accurately capturing complex relationships within data that evolve with spatial location, time, and data collection design. By translating these methods into software and collaborating with scientists to accelerate their timely adoption, the project will drive breakthroughs in understanding how complex biological mechanisms contribute to disease pathogenesis, and enhance governance of online digital environments through a greater understanding of social network dynamics. Ultimately, the project will deliver an evidence-based, robust decision-making framework for building a healthier and better-informed Australian society.