I develop and apply statistical methods for solving problems in ecology, primarily involving drawing inferences about wildlife population abundance, distribution and populaton trajectories from survey data of various sorts. These methods are used extensively by national, international and private conservation and management organizations. My personal web page can be found here.

My current main resarch interests focus on developing methods to better exploit data from digital survey devices like camera traps, microphone arrays and drones to assess wildlife populations. To do this I develop methods that straddle a number of areas of statistical research including capture-recapture methods, distances sampling, spatial modelling, survival analysis and time-to-event analysis, as well as collaborating with developers of artificial intelligence methods to automatically identify species of interest in digital data streams, and with ecologists with the requisite knowledge of these species.

The assessment methods I develop and use inform wildlife management and conservation decisions and policy. Examples include setting of fishing quotas, establishing reserves, and species recovery programmes. I am currently working with snow leopard ecologists to support the world's first comprehensive survey of this elusice species, with gibbon ecologists to develop more effective methods for assessing gibbon populations, and with aerial survey specialists to implement effective video-based surveys of certain marine mammals.