Our research philosophy is built around understanding disease at the intersection of:
We are interested in developing knowledge and technologies that can help address important challenges in cancer detection, disease characterisation and personalised healthcare.
A structured, stage-by-stage progression from biological discovery to translational and clinical investigation.
Identify important biological and clinical questions.
Identify relevant molecular pathways, biomarkers or genetic characteristics.
Develop appropriate analytical and computational approaches.
Evaluate scientific performance, accuracy and reproducibility.
Explore potential real-world healthcare applications.
Where scientifically and regulatorily appropriate.
Dedicated scientific programs advancing precision cancer biology, diagnostics, and computation.
Cancer genomes contain alterations that can influence tumour behaviour. This research program focuses on understanding cancer-associated genetic and molecular changes.
This program explores approaches for integrating genomic and molecular information into cancer diagnosis.
This research program explores circulating biomarkers as a minimally invasive source of cancer-related information.
This program explores genetic factors associated with variability in treatment response.
Biomarkers can provide measurable information about disease biology. Our research direction includes exploration of biomarkers for:
This research program explores the potential of using patient-specific molecular information to guide vaccine research.
This program explores computational approaches for understanding complex biological datasets.
Our strategic research projects represent ongoing areas of innovation designed to establish scalable platforms for molecular discovery and precision oncology.
Develop a research framework for analysing cancer-associated genomic alterations and molecular patterns.
Cancer genomics, NGS, variant analysis and molecular characterisation.
Precision oncology research and molecularly informed treatment strategies.
Explore blood-based approaches for identifying cancer-associated molecular signals.
Liquid biopsy, circulating biomarkers, molecular analysis, genomic profiling.
Non-invasive cancer research and disease monitoring.
Investigate relationships between genetic variation and differences in treatment response.
Genetic Variant → Drug Response → Patient-Specific Insight
Identify and investigate molecular characteristics that may serve as biomarkers for cancer research.
Diagnostic biomarkers, prognostic research, predictive biomarkers, treatment-response biomarkers.
Explore computational approaches for analysing complex genomic datasets.
Variant prioritisation, pattern recognition, biomarker prediction, data integration.
Explore patient-specific molecular information for personalised cancer vaccine research.
Tumour-associated antigens, molecular profiling, computational antigen analysis, immune-response research.
The Intelligence Behind Precision Medicine: Modern precision medicine produces enormous quantities of data. Our computational vision builds capabilities across four key domains:
Handling and denoising complex, high-throughput genomic datasets with ultra-high quality control.
Combining genomic, transcriptomic, clinical, and liquid biopsy information from heterogeneous sources.
Converting raw genomic reads into biologically verified oncogenic alterations and actionable insights.
Exploring AI and machine learning to identify hidden mutational patterns and predict therapeutic response.