My research program seeks to understand the underlying physiology of diseases common in horses, and how these diseases can be modified with targeted nutrition, with a focus on cartilage biology.
Statistical natural language processing has been actively studied in the field of Artificial Intelligence. My research is mainly focused on applying machine learning methods in Information Retrieval, Text Categorization, Sentiment Analysis, Text Segmentation, Text Summarization, Privacy Policy Analysis, and Text Mining.
Landscape architecture has a long history at the University of Guelph, and we are able to tap into the diversity of disciplines here in order to make a broad contribution to our students' education and experience.
My research uses mathematical models and computer simulation to help identify improved infectious disease prevention and control strategies in both humans and animals. Our work has a significant impact on public health and veterinary health, by strengthening planning and disease control strategies to prevent infectious disease outbreaks.
In the context of global challenges, I work in the area on communication and information for agricultural innovation and community economic development. I lead the Regional and Rural Broadband (R2B2) project.
Dr. Kate Parizeau is interested in research questions concerning the social context of waste and its management. Her research uses waste management practices as a lens through which to interrogate complex systems of social organization and human exchanges with the natural world.
