My research is in the area of nuclear physics, using the atomic nucleus as a laboratory to understand the fundamental forces of nature, the origins of the elements in the Universe, and how simple patterns emerge from complex systems.
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.
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.
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.
