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Predictive Life Sciences

Organisational unit: Research Theme

Organisation profile

Predictive Life Sciences promotes interdisciplinary approaches to life science research. This includes systems biology (the use of mathematical modelling as part of an integrative loop with experimental techniques); synthetic biology (combining science and engineering in order to design novel biological functions and systems); and bioinformatics (computer analysis of biological data).

Predictive Life Sciences aims to give greater prominence and cohesion to researchers using mathematics and/or computational modelling as part of biological and biomedical research, and to engage others in exciting, new collaborations. Our activities promote and generate new collaborations between parts of the University that would otherwise be organisationally, physically, and/or intellectually separate.

Biological and biomedical research is facing a huge change. With the advent of high throughput methods generating fine-scale biomolecular data, scientists need to be able to predict possible outcomes in situations beyond the span of available data, using reliable dynamical models that are both mechanistically-derived and biologically well-informed. The University of Bristol is uniquely placed to deliver this research.

Our research strengths include:

  • biochemistry, cell biology and chemistry, including mechanistic and structural biology
  • medical research, in particular neuroscience, cardiovascular science and social medicine
  • statistics and artificial intelligence
  • imaging and microscopy, including nanoscience
  • behavioural and theoretical biology, including animal welfare and behaviour
  • nonlinear science and mathematical modelling.

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Contact information

Dr Jennifer Jennings
Research & Enterprise Development
Senate House
Tyndall Avenue
United Kingdom
  • Phone: +44 (0)117 928 8062

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