With the wide range of research conducted at the University of Sydney, the Centre for Translational Data Science is uniquely positioned to apply data science to a wide variety of problems.

With projects that apply data science to the study to psychological behaviour, human metabolism, autonomous systems, security and much more, we are at the forefront of innovative, paradigm-shifting discoveries.

Aged Care Facilities Quality Indicators
Analysing routinely collected data on aged care facilities to study quality indicators.
Collaborators: Y. Jeon, L. Straney
Status: Active

Brain and Mind Centre - NEET (Not in Employment, Education or Training)
Determining the main factors contributing to NEET status in young people.
Collaborators: N. Glozier
Status: Completed
Breast Cancer Patient Dashboard
Creating a dashboard to track patients with lymphoedema.
Collaborators: E. Elder, T. Shaw
Status: Active
Camden Farms - Milk Production
Investigating how supplementary feeding affects milk production in cows.
Collaborators: S. Garcia, C. Clark
Status: Active
cBioPortal Extension
Extending the functionality of a new Westmead instance of cBioPortal - a web app providing visualisation and analysis of large-scale cancer genomics datasets.
Collaborators: A. daFazio, G. Mann
Status: Active
CT Scans Appropriateness
Determining the rate of CT scans performed at Royal North Shore Hospital and categorising the users, types of scans and their impact on hospital admission.
Collaborators: J. Morris
Status: Active
Estimating the True Levels of Crime
Identifying how much crime goes unreported to police. Estimating the true levels of crime for a particular crime type based on observed data. The first stage of this project corresponds to estimating the true number of domestic violence crimes in the Central Metropolitan Region by using external sources of information, such as victim surveys and health records.
Collaborators: Sydney Institute of Criminology
Status: Active
Indigenous Dental Health Services
Comparing two different models for providing dental health services to indigenous communities in NSW.
Collaborators: K Gwynn
Status: Active
MCMC (Markov Chain Monte Carlo) Bolometric Light Curve Modeling
Inference of explosion properties (ejected mass and synthesised 56Ni mass) for a sample of type Ia supernovae, revealing a range of different explosion mechanisms.
Collaborators: R. Scalzo, CAASTRO
Status: Active
Metabolomic Time-Course Clustering
Time-series analysis of the acute metabolic response of cell lines to insulin stimulus, including an error model for mass spectrometry data and clustering of metabolites into fast-equilibrium pools. These are first steps towards a more complete picture of how insulin regulates metabolism, involving the fusion of other kinds of molecular data.
Collaborators: R. Scalzo, J. Krycer, L. Quek, D. James
Status: Active
Predicting the Effect of Rapid Greenfield Development Over Crime
Characterising the degree of dependence between crime rates and external factors in the context of rapid growth in the Camden Local Area Command. Particular interest is to model the effect of increasing population density over crime rates depending on demographic and socio-economic factors.
Collaborators: Sydney Institute of Criminology
Status: Active
Prostate Cancer Patient Categorisation
Determining whether patients can be categorised through their time trajectory of measured prostate-specific antigen (PSA) level.
Collaborators: T. Eade
Status: Active
Spatial-Temporal Model for Domestic Violence and Mental Health Callouts
The first phase of the project considers modelling two types of police intervention: domestic violence and mental health call-outs. The goal of this phase is to apply state-of-the-art machine learning algorithms to understand how each of these two phenomena behave over space and time in the Central Metropolitan Region.
Collaborators: NSW Police Force, Sydney Institute of Criminology
Status: Active

Discover more about some of our key research projects: