Alex Cannon received his Ph.D. degree in atmospheric science from UBC (The University of British Columbia). He is currently a Research Climatologist at the Pacific Climate Impacts Consortium, University of Victoria and an Adjunct Professor at Atmospheric Science Program, UBC. His research deals with the development and application of machine learning and statistical models to weather and climate prediction. His interests include statistical downscaling, automated methods for synoptic map-pattern classification and weather typing, probabilistic weather and climate prediction, stochastic weather simulation, nonstationary extreme value analysis in hydroclimatology, seasonal-to-interannual climate forecasting, and assessing impacts of climate variability and change on water resources. He is a Member of the American Meteorological Society Committee on Artificial Intelligence Applications in Environmental Science, a recipient of the Canadian Meteorological and Oceanographic Society Tertia M. C. Hughes Memorial Prize, and a recipient of the World Meteorological Organization Research Award for Young Scientists.
Biography Updated on 2 February 2012