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Department of Mathematical Sciences

Research Profile

Department of Mathematical Sciences Results

The Department submitted six impact case studies to REF2014.

  • Dr Peter Craig, Professor Michael Goldstein and Professor David Wooff are winners of the Durham University’s Award for Excellence in Research Impact in 2014.
  • Professor David Wooff lead a team of PhD statisticians in developing the “forecaster’s predictive analytics engine”, which shows retailers where and how to spend online advertising budgets to deliver the greatest profit. Read more in the Retail Times.

Research Groups

Research in the Department of Mathematical Sciences is organised into a number of groups interacting with each other and other departments. A brief description of the groups and their research interests is given below. Each group maintains its own web pages, and much more detailed information about research, postgraduate studies and seminars can be found there.

The Applied & Computational Mathematics Group: The group has a wide range of interests in the mathematical analysis of partial differential equations and in magnetohydrodynamics.

The Mathematical and Theoretical Particle Physics Group: our research activities fall into the broad categories of quantum field theory, string theory and gravity, cosmology and solitons in field theory. The group's interests are complementary to those of particle physicists belonging to the Institute for Particle Physics Phenomenology, and together we form the Centre for Particle Theory.

The Pure Mathematics Group: the areas of research of the pure mathematics group include global analysis, arithmetic, differential and hyperbolic geometry, number theory, representation theory, topology and interactions of these areas with dynamics, physics, engineering and computer science (robotics).

The Probability and Statistics Group: the interests of the group cover a wide range of topics associated with probability and statistics. In particular, topics studied include Bayes linear methods, applied Statistics, analysis of designed experiments, probability, percolation and geometric probability and quasi-stationarity.