I conduct research in Computer Security and Computer Systems domains. I am interested in using cross-domain tools and techniques to understand and improve the security and usability aspects of existing security systems, often involving human subjects.
My ultimate goal is to improve understanding of the complex interplay of factors that impact children’s pain and health to identify best practices for intervention.
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.
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 will contribute to our fundamental understanding of the role of nutrition in disease prevention and strategies to implement change working through families.
The central research goal of my research is to examine the concept of resiliency and sustainability within the context of resource-based communities to address the often problematic relationship(s) between resource reliance, community well-being, and adaptive capacity.
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.
