I am engaged in questions of applied landscape ecology in rural and agricultural landscapes, including changes in landscape patterns and the consequences of those changes on biodiversity, water quality, and culture.
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.
The research that we conduct in my laboratory aims to understand the causes of infertility at the gene level and pinpoint the mechanisms through which toxicants affect fertility both in humans and farm animals. Understanding how things happen will help in finding ways of overcoming it.
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.
