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.
My current research explores the role of rural governance, place-based development, philanthropy, rural policy, community economic development, and rural immigration and mobility.
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.
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 ultimate goal is to improve understanding of the complex interplay of factors that impact children’s pain and health to identify best practices for intervention.
