Mathematical biology is one of the most exciting and fastest growing areas of mathematics.

Advances in technology have dramatically increased the amount of quantitative data that is available across many areas of biology, leading to an urgent need for mathematical and statistical models to help analyse, interpret and explain those data.

Our research focuses particularly on:

  • mathematics of conservation: modelling and optimising methods from mathematics and economics to solve conservation problems
  • mathematical neuroscience: building mathematical models of how biological nervous systems become wired up during development, and how genetic and environmental factors constrain and guide this process
  • mathematical modelling: developing, analysing¬†and calibrating¬†models for a wide variety of biological phenomena, including growth, movement, interaction and clustering, persistence and extinction, population explosion and catastrophe, inheritance, mutation and infection.¬†



Adjunct and honorary