My research focuses primarily on the genetic regulation of innate immunity in animals, with a particular focus on innate immune pattern recognition proteins.
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.
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.
I combine experiments, simulations, and theory to tackling problems like improving small hydropower systems, modeling the climate inside greenhouses, and studying airflow in both industrial processes and outdoors.
I examine marine conservation policy and governance, from local to global scales. I explore how decisions are made, how science and other kinds of knowledge inform these decisions, how various actors influence decision-making processes, and who benefits (or loses) as a result.
My research attempts to improve the economic and environmental sustainability of pork production in Ontario and Canada, to support a vibrant and diverse industry that employees many people, which ultimately provides high-quality, safe, and affordable pork for us to eat.
