Design and analysis of experiments We work on the theory, methodology and applications of the design of experiments and the corresponding methods of modelling the resulting data. Many modern experiments are more complex than in the past and produce far more data. New methods are constantly required to plan these experiments in the most cost-effective way possible. Particular areas of interest include multi-stratum designs, experiments on networks and supersaturated designs. We work closely with scientists, engineers and medical researchers to ensure that the methods we develop can be applied in practice. Steven Gilmour and Kalliopi Mylona work in this area.