SBI Australia pursues collaborative research initiatives that apply systems biology approaches to complex biomedical and environmental challenges. Our projects bring together expertise from Monash University, Japanese partners, and Australian research organisations.
Research Collaboratives
Systems biology to improve IVF success
Applying computational modelling and systems-level analysis to better understand the factors influencing in vitro fertilisation outcomes, with the aim of improving success rates.
Systems Metabolomics – A Research Collaborative
Integrating metabolomics data with systems biology frameworks to map metabolic networks and their role in health and disease.
News from the Heart – Cardiac Research Collaborative
Using systems approaches to investigate cardiac function and disease mechanisms, in partnership with clinical and experimental researchers.
Epidemiology Modelling Collaborative
Developing computational models to understand disease spread and inform public health strategies. A related session was held on 27 June 2014 at The Alfred (AMPREP).
Enabling Capabilities
SBI Australia facilitates access to high-performance computing capacity and specialised software platforms, supporting researchers across these collaboratives. Our node connects Australian investigators with the broader Systems Biology Institute network in Japan, enabling shared technology, resources, and expertise.
For further details on any of these research initiatives, or to explore collaboration opportunities, please contact us.
SBI Australia pursues collaborative research initiatives that apply systems biology approaches to complex biomedical and environmental challenges. By integrating computational modelling, high-performance computing, and multi-omics data analysis, our projects bring together expertise from Monash University, Japanese partners, and Australian research organisations. This international network enables the sharing of technology and resources, fostering a dynamic environment where undergraduate, postgraduate, and postdoctoral researchers can engage with cutting-edge systems-level science. Our research capacity is strengthened through close ties with EMBL Australia and the broader Japanese systems biology community, creating a pipeline for innovation that spans academic, government, and industry sectors.
A flagship research collaborative focuses on applying computational modelling and systems-level analysis to better understand the factors influencing in vitro fertilisation outcomes. By integrating diverse biological datasets, our team aims to improve success rates through predictive frameworks that capture the complexity of reproductive biology. This initiative exemplifies the institute's commitment to translating systems biology into tangible clinical impact. Researchers work closely with clinical partners and computational scientists to refine models that can ultimately guide treatment decisions, demonstrating how network-based approaches can transform patient care when grounded in rigorous, data-driven methodologies.
Another major research collaborative integrates metabolomics data with systems biology frameworks to map the molecular signatures underlying health and disease. By developing computational platforms that analyse metabolic pathways in concert with genomic and proteomic information, our researchers uncover new biomarkers and therapeutic targets. These efforts are supported by a strong training and outreach program that builds national capacity in systems-level science. The collaborative model connects academic investigators with industry and government partners, ensuring that fundamental discoveries are translated into practical applications that address pressing challenges in medicine, agriculture, and environmental sustainability.