Associate Professor Lachlan Coin is a mathematician with a research focus on developing genomics and bioinformatics tools in infectious disease and cancer. He was originally drawn by the rigour and intellectual challenge of pure mathematics but now uses his maths background as a toolkit for solving complex problems in analysing high throughput biological data.

Associate Professor Coin is best known for using approaches borrowed from machine learning, statistics and probability theory to interrogate genomic data.

In particular, Associate Professor Coin has focussed on using these approaches to uncover genomic deletions and amplifications and has identified changes that are associated with increased risk of obesity and diabetes.

He has also developed approaches for finding minimal biomarker signatures associated with disease, and has applied these approaches to find biomarkers that distinguish bacterial from viral infection, and for the presence of active tuberculosis infection. He is also applying his methodology to develop a diagnostic tool for cancer from cell free DNA

Ultimately, Associate Professor Coin is motivated by making discoveries that are routinely used in clinical practice and to inform public policy to improve health outcomes.


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Medical genomics and bioinformatics