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.
The goal of my research is to improve the life of cancer patients by identifying tools to make better treatment decisions. This can possibly improve several important aspects of the life of a cancer patient, including treatment response, the quality of life, and the overall survival following treatment.
I specialize in Canadian theatre history, with a focus on the history of radical political intervention theatre. My secondary field at the moment is reenactment culture and "warplay".
My research will contribute to our fundamental understanding of the role of nutrition in disease prevention and strategies to implement change working through families.
Our research is mainly focused on studying ultrafine biopolymeric and synthetic fibres produced by electrostatic spinning techniques. These versatile materials are being exploited in our laboratory for the encapsulation and triggered release of bioactive compounds.
I am interested in the diverse knowledge systems and participatory approaches (citizen science, youth engagement, community-based monitoring, Indigenous guardians, etc.) that contribute to community-led environmental decision making in resource-based and remote communities.