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David Calvert is an Associate Professor in the School of Computer Science at the University of Guelph, where he has been a faculty member since 1998. He obtained his PhD from the University of Waterloo. His research primarily focuses on classification modelling through the use of artificial neural networks. He applies these techniques in various domains including biological data, agricultural data, and public health data. Additionally, Calvert is interested in exploring parallel processing patterns using GPUs, particularly in the visualization of pitch class sets in 20th-century music. His work includes the development of software tools for analyzing musical data, generating music data sets, and graphically displaying analysis results. He has held programming and research roles at INM Inc., E.S. Aquatic Co., and Mortice Kem Systems Inc. Calvert has been recognized for his contributions and has received grants from the Natural Science and Engineering Research Council of Canada in 1999 and 2005, as well as serving as a Site Leader for a SHARCNET grant in 2007.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).