My research program is the only one in Canada that integrates economics, hydrology, and GIS to examine the cost effectiveness of landscape conservation programs.
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.
Promotion of dairy cattle health, production, efficiency, and welfare not only contributes to economic viability of the dairy production sector, but also provides benefits to the consumers of milk products. These benefits include environmental sustainability, maintenance of milk nutritional quality and safety, as well as assurance that milk is sourced from animals that have been raised humanely.
I have an interest in conservation induced livelihood change, forest governance, conservation partnerships and Indigenous-led conservation governance. My work seeks to improve the social and ecological outcomes of conservation governance.
Research in my laboratory aims to identify and characterize new molecular factors and cellular mechanisms implicated in neuronal development and plasticity, which in turn will help reveal important new details about the pathophysiology of different brain disorders and identify potential targets for improved pharmacological treatments.
I am interested in German and Austrian literature and thought from the late 18th to the early 20th century. My focus is on the fantastic and uncanny, myth and fairy tales. My current research deals with the aesthetics of terror in the romantic period.
