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Khurram Nadeem is an Associate Professor in the Department of Mathematics and Statistics at the University of Guelph. He completed his PhD in Statistics from the University of Alberta in 2013. His research interests include predictive modeling of ecological and environmental processes, big data analytics, and statistical bioinformatics. He works on wildland fire occurrence prediction, utilizing large-scale historical environmental and fire demographic data to predict severe forest fires in Canada. Moreover, he is interested in agro-environmental science, specifically the integration of diverse data sources to enhance agricultural productivity amidst climate change. Nadeem aims to develop robust statistical models and decision-support tools to inform sustainable agricultural practices. His recent work includes collaboration on projects related to the impact of climate change on agricultural land suitability and the interactions between host and microbiome dynamics in disease development in animals.
University of Guelph • Guelph, ON, Canada
Teaching and conducting research in statistics and data analysis, focusing on ecological and environmental applications.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).