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.
Immigrant families settling the land, quilting bees, and ploughing matches are examples of some of the social and economic topics of early Ontario that link my work to the larger expertise of this University concerning agriculture and rural communities.
Graduate students joining my team at Guelph get unrivalled opportunities to work in the lab and field answering research questions at the cutting edge of science with direct environmental and societal relevance. This important research is exciting, challenging and rewarding for the student, for me as the supervisor and for everyone else in the team.
My research improves life by assessing workplace tasks and devices for end user injury potential. Once the risk is understood, new methods and devices are designed to minimize the potential of developing injuries such as carpal tunnel syndrome.
