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Sydney Bioinformatics and Biometrics


Our research group is comprised of people from a diverse range of professional backgrounds, from computer science to statistics to clinical medicine. We develop methods meet a range of needs for topics ranging from predictive biomarkers to single cell data analysis. To find out more, explore the sections in the navigator bar above.


Research Areas

- Multi-omics Integration and Statistical Machine Learning
- Complex Data and Network Modelling
- Precision Medicine
- Model Selection and Visualisation for Biomedical Data
- Single Cell Data Analytics
- Brain Omics and the Connectome
- Approximate Bayesian Inference
- Complex Agricultural Data Modelling


June 2018: Congratulations to Shila Ghazanfar for winning the Oz Single Cells 2018 Data Analysis Competition.
June 2018: Congratulations to Pengyi Yang for winning a Robinson Fellowship.
June 2018: Congratulations to Kevin Wang for winning a best presenter award at Sydney Bioinformatics Research Symposium 2018.
January 2018: Congratulations to Weichang Yu for winning a Statistics Society of Australia NSW Branch travel grant to attend the Young Statisticians Conference.