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Song Laboratory

Bioinformatics and Computational Biomedicine

Welcome to the Song Lab

Our research focus is to develop multi-level, heterogeneous biological data-integrative approaches and tools by combining artificial intelligence, machine learning and data analytics to further our understanding of biological systems.

We're part of the Monash Biomedicine Discovery Institute, and a member of the Cancer and Infection Programs and the Department of Biochemistry and Molecular Biology.

Associate Professor Jiangning Song

My global research connections, partners and funding can be viewed on my Monash Research Profile.

If you are a student interested in doing research in our lab, visit Supervisor Connect.

Click the links below to connect with me on Twitter, ORCID and LinkedIn.

Our research

We are motivated to develop and deploy data-driven bioinformatics methodologies by combining data analytics and machine learning to address a range of open and challenging problems in genomics, molecular biology and systems biology. The developed algorithms and tools can be used as powerful means to facilitate high-throughput analysis, modelling and functional annotations of biological molecules, i.e. DNAs, RNAs and proteins.

Lab members

We are committed to excellence in research.


View our chosen highlighted key publications.

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We want to share our research discoveries & successes with you.

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Join Our Lab

We're always interested in collaborating with bright and motivated researchers, clinicians and industry. Whether you want to research, study or partner with us to accelerate our discoveries, find out about the work we do.

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