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.
Overall, our work aims to uncover novel strategies for the treatment of infectious diseases associated with fungal and bacterial pathogens in both the healthcare and agriculture sectors.
My research program seeks to understand the underlying physiology of diseases common in horses, and how these diseases can be modified with targeted nutrition, with a focus on cartilage biology.
My research uses mathematical models and computer simulation to help identify improved infectious disease prevention and control strategies in both humans and animals. Our work has a significant impact on public health and veterinary health, by strengthening planning and disease control strategies to prevent infectious disease outbreaks.
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.
