My community-engaged research collaborations focus on the interplay between citizens – particularly young women and women in northern communities – and the framing and development of public policy.
It is important to consider how our everyday decisions as residents of Canada affect global (or distant) issues, people and places in positive and negative ways.
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 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.
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.
