Extracting real knowledge from data is crucial in formulating effective health policy, developing molecular diagnostics and selecting trait markers for agricultural breeding programs.

We develop innovative statistical-based solutions in biotechnology, imaging and informatics. Our research covers areas such as:

• analysis of microarray data in health and agriculture
• advanced imaging for drug development
• identification of determinants important for health policy and evidence based medicine.

We have particular expertise in working with massively parallel data – data generated when the number of observations of each sample is vastly greater than the number of samples.

Many modern techniques used in medical and agricultural research, such as microarray experiments, generate this kind of data.

Massively parallel data throws up a new wave of challenges for data analysis. We are meeting these challenges through our new statistical methods.

We work in the following application areas:

• Statistical Bioinformatics for Agribusiness
  Analysis of array based data in agriculture
• Statistical Bioinformatics for Health
  Advanced statistical methods for biotechnology research
• Biotech Imaging
  Imaging for research, diagnostics and drug development.

Discovery Bioinformatics and Imaging is one of the three main areas of research at CSIRO Mathematics, Informatics and Statistics .

The work involves advanced statistical, data mining and imaging techniques to solve important problems in biotechnology and health.

For more information about research in this area please contact Paul Sims.