My research attempts to improve the economic and environmental sustainability of pork production in Ontario and Canada, to support a vibrant and diverse industry that employees many people, which ultimately provides high-quality, safe, and affordable pork for us to eat.
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.
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.
My group uses in vivo and in vitro models to ask how transcriptional regulators of the Dlx gene family influence cellular differentiation in the skeleton and craniofacial tissue patterning during vertebrate embryogenesis...
My research interests include parent-child relationships, child development, early childhood education and care, child and family well-being, family relations, various aspects of work-life integration (as well as school-life or school-work-life integration), and the experiences of non-traditional students in formal post-secondary education, in particular mature students and student parents.
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.
