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.
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.
My specialization is Applied Animal Behaviour and Welfare of Farm Animals. My research and teaching focus on how various housing and management practices affect the behavioural biology and welfare of farm animals.
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.
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.
Studying the behavioural biology of cattle sheds light on how they see and experience the world, and ultimately offers us insight into their feelings. What drives their behaviour? How do the ways that we interact with them, house them, and manage them, impact their well-being? In our lab, answering these questions are fundamental to ensuring that the animals we farm, in this case cattle, live a good life.
Overall, our work aims to uncover novel strategies for the treatment of infectious diseases associated with fungal and bacterial pathogens in both the healthcare and agriculture sectors.
