I study the application of SMC methods for wildlife population models, particularly for non-Gaussian and non-linear state-space models. Parameter inference for these models can be difficult because of highly correlated parameters and has to take account of informative priors, outliers in the data, and issues with model fit. I am working on developing and adapting suitable algorithms using a combination of computer-intensive SMC methods and approximations, and demonstrating their advantages through a case study of the UK Grey Seal population. I am based at the University of St Andrews, and am supervised by Len Thomas (St Andrews) and Ken Newman (Edinburgh).