We are interested in structure-function relationships of enzymes and enzyme evolution. We are studying steroid degrading enzymes from the pathogen Mycobacterium tuberculosis and other related bacteria. We are also interested in enzymes that can be used to detoxify environmental pollutants.
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.
Dr. Kate Parizeau is interested in research questions concerning the social context of waste and its management. Her research uses waste management practices as a lens through which to interrogate complex systems of social organization and human exchanges with the natural world.
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.
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 research program seeks to understand the underlying physiology of diseases common in horses, and how these diseases can be modified with targeted nutrition, with a focus on cartilage biology.
