Mathematics in the life sciences
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Our researchers work closely with life scientists to address key challenges in biology and medicine using a wide range of mathematical and statistical techniques.
Mathematics reaches into almost every area of biology and medicine. Quantitative methods are increasingly valued by biologists seeking to make sense of complex systems, or seeking to extract useful information from large experimental datasets. The life science and healthcare arenas are also rich sources of challenging new mathematical and statistical questions.
Our interests span application areas such as biochemical and gene regulatory networks, biomechanics, cell migration and signalling, medical imaging, medical statistics, molecular evolution and population dynamics. These topics are pursued in collaboration with life science researchers in Manchester and beyond.
Areas of expertise
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Biomechanics and transport processes
We investigate the mechanical properties of diverse biological structures, from individual cells to entire tissues and organisms.
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Dynamical systems
Dynamical systems describes time dependent behaviour, including chaos, in difference and differential equations and has applications across the sciences.
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Inverse problems
In inverse problems researchers look inside solid objects or deduce complex models from data using mathematics.
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Mathematical epidemiology
The mathematical epidemiology area of expertise in the Department of Mathematics at The University of Manchester is interested in a diverse range of methodological approaches and applications to infectious and chronic disease modelling.
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Statistics
Statistics is concerned with the analysis and interpretation of data, the design of experiments and decision-making under uncertainty.
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Research seminars
Research seminars on topics associated with mathematics in the life sciences take place regularly in the following series:
PhD research opportunities
We welcome applications for PhD study in all areas of mathematics in the life sciences. PhD enquiries related to this theme can be directed to Sean Holman.
To discover the PhD opportunities available in the Department of Mathematics, explore our Postgraduate research in mathematics.
