Visitors

Current Visitors

Professor Antoine Guisan

Antoine is visiting us for a period of 12 months, from the University of Lausanne, Department of Ecology and Evolution, Switzerland.  During his stay he will develop methods around integrating decision science with species distribution modelling. His main research focus is on spatial predictive modelling of species and community distribution (see Guisan & Zimmermann 2000 and Guisan & Thuiller 2005 in the “Publications” page on his website – link below). Beyond the methodological interest itself, Antoine’s group develop models for various purposes, such as rare species management, assessing the potential impact of climate change on plant and vegetation distribution, and invading species forecasting.

Email: Antoine.Guisan@unil.ch     Website

Past Visitors

Dr Frederick Garcia

Fred joined us in August 2011 from Toulouse France,  to teach a short course with Iadine Chades on Stochastic Dynamic Programming.  Fred is the Research director at INRA and a member of the Mathematics and Computer Science department in the Biometrics and Artificial Intelligence laboratory in Toulouse. For the last ten years, the main application domain for his research in Artificial Intelligence has been the management of agroecosystems, that can be seen as complex controlled dynamical systems.

Email: fgarcia@toulouse.inra.fr    Website

Dr Stephen Willis

Steve spent 3 months in early 2011 visiting us from University of Durham, United Kingdom, working with Richard Fuller to develop a framework for understanding bird responses to climate change. Most of his recent research is tied to the role of climate and habitat in determining species distributions. The major emphasis of his research is examining the effects of environmental change, particularly global climate change, on ecosystems and the mechanisms by which environmental change acts upon species. Steve also examines how environmental change impacts upon factors such as biodiversity and causes range shifts in both native and invasive species. Most of his research in this area involves ecological modelling using spatially explicit models and GIS, often incorporating remote-sensed data, though he also undertakes experimental manipulations in the field.

Email: s.g.willis@durham.ac.uk   website

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