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 lies in the field of global environmental governance, focusing primarily on the role of cities and transnational city-networks in reducing the world's global carbon footprint.
My research program is the only one in Canada that integrates economics, hydrology, and GIS to examine the cost effectiveness of landscape conservation programs.
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.
My research interests include bullying and cyberbullying, policing, and victimization. I am particularly interested in the ways in which the peer, family, and school contexts influence adolescents' involvement in cyberbullying, and how groups of adults collaborate to prevent and respond to cyberbullying.
The problems I have worked on in animal science have direct implications for genetic selection, food quality (e.g. cow milk), and animal health. On the other hand, my work in understanding the structure and driving mechanisms of ecological (e.g. plant-pollinator) networks have indirect implications for ecosystem conservation, management, and restoration.
