Research in mathematical biology

We develop and apply mathematics, statistics, and computational methods to expand understanding of biological systems and solve challenges in health and medicine. We work closely with biologists and clinicians to improve disease prevention strategies, diagnostics, and therapies.

Research groups and labs

  • Brumley Lab

    Our research group uses mathematical modelling and quantitative video-microscopy to study a range of dynamic processes in biology – crucially at the scale of individual cells – with specific applications in bacterial motility, symbioses, nutrient cycling and flows around coral reefs.

  • Centre for Environmental and Economic Research

    A multidisciplinary research group of ecologists, data analysts, economists and animal and plant health specialists that focuses on environmental and economic outcomes.

  • Flegg Lab

    Using mathematics and statistics to answer questions in biology and medicine. In particular, developing mathematical models in areas such as wound healing, tumour growth and infectious disease epidemiology.

  • Lê Cao Lab – Director of MIG

    Integrating biological -omics data (transcriptomics, proteomics, metabolomics, microbiome, metagenomics, single cell transcriptomics and multi-omics) with multivariate and dimension reduction methodologies and R software development.

  • Mathematical Biology Group

    Mathematical, statistical and computational methods are crucial in many areas of modern biological research. Conversely technological advances in biology allow more data, often of a novel type or at a finer resolution, to be collected resulting in new challenges that are motivating research in mathematics, statistics and computational methods.

Research centres, partnerships and institutes

More research in Technology and data

We are pioneers in a diverse range of cutting-edge fields – from quantum technologies to cybersecurity, biosecurity to space exploration and satellites, and sustainable technology to advanced materials.

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Life, the Universe and everything in between – our discoveries build an understanding of the world around us and help make it a better place.

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