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.
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 am interested in the diverse knowledge systems and participatory approaches (citizen science, youth engagement, community-based monitoring, Indigenous guardians, etc.) that contribute to community-led environmental decision making in resource-based and remote communities.
Studying the behavioural biology of cattle sheds light on how they see and experience the world, and ultimately offers us insight into their feelings. What drives their behaviour? How do the ways that we interact with them, house them, and manage them, impact their well-being? In our lab, answering these questions are fundamental to ensuring that the animals we farm, in this case cattle, live a good life.
