Nathaniel Newlands is a Research Scientist in Agriculture and Agri-Food Canada and an Adjunct Professor in the Department of Statistics at the University of British Columbia, Vancouver, BC, Canada. He is an Active Member of the International Association of Ecology and the International Environmetrics Society. He completed an Honors B.S. degree in physics and mathematics (University of Guelph), an M.S. degree in Astrophysics (with focus on Be-X-ray neutron star binary systems) (University of Calgary), and Ph.D. degree in resource management and environmental studies (with focus on multiscale spatiotemporal modeling of migratory bluefin tuna and marine ecosystem dynamics) (University of British Columbia). His expertise spans ecosystem modeling, risk analysis, and statistical assessment, with a particular interest in complexity theory, stochastic processes, nonstationary spatial dynamics, and adaptive behaviour within ecosystems. He is involved in a wide range of interdisciplinary research: from spatial interpolation of historical climate data, regional downscaling of climate scenario information, testing soil water algorithms against new earth observational/remote sensing data, developing novel models and methodologies to explaining complex processes such as nitrous oxide emission from agricultural landscapes. New research now underway includes analysis of energy supply chain dynamics from agricultural and forestry products. This work is applying dynamic Bayesian networks and the development of computationally intelligent algorithms for efficient data-mining/exploration of large multiscale data sets, as well as model structures that can learn and adapt to different level of knowledge and criteria to provide predictions and forecasts in different model applications.
Biography Updated on 15 February 2011