I and my lab study animal welfare. We're interested in how to create good living conditions for animals kept in labs, zoos and farms; in how scientists can assess well-being objectively; and in what happens to brain and behaviour when animals are raised and kept lifelong in confining, barren enclosures.
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 employ a quantitative approach to integrate observational, experimental and synthetic data sets, gathered by myself and others, to study this interaction of dispersal and environmental processes...
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.