Rationale: The progress of research in many areas of biology has accelerated through the use of scientific computation for the analysis, simulation and forecasting of complex biological systems. In many of these areas, cost and validity of the computations themselves has become a limiting factor on progress. Experience has shown that improvements in numerical algorithms are often more effective than massive expenditures on raw computing power. This workshop will bring together computational biologists and numerical analysts, to explore better numerical algorithms for problems in such areas as dynamical disease, epidemiology, neural networks, ecology, cell biology and physiological models.
Among those who have indicated they will be participating are:
Jacques Bélair, Université de Montréal
Ross Cressman, Wilfrid Laurier University
Leon Glass, McGill University
Alf Gerisch, The Fields Institute
John Guckenheimer, Cornell University
Abba Gumel, University of Manitoba
John Hsieh, University of Toronto
Tony Humphries, University of Sussex
Eugene Izhikevich, Neurosciences Institute, San Diego
Daniel Kobler, TM Bioscience
Carlo Laing, University of Ottawa
Dong Liang, York University
Xinzhi Liu, University of Waterloo
Andre Longtin, University of Ottawa
Kurt Lust, K.U.Leuven
Michael Mackey, McGill University
John Milton, The University of Chicago
Ned Nedialkov, McMaster University
Steven Ruuth, Simon Fraser University
Sven Sigurdsson, University of Iceland
Tianhai Tian, The University of Queensland
David Tritchler, Ontario Cancer Institute
Jianhong Wu, York University
Simon Yang, University of Guelph
James Yorke, University of Maryland
(Speakers should submit abstracts to wlangfor@uoguelph.ca and numerical@fields.utoronto.ca)
