Physical processes and human activities change the landscape and increasingly these factors work in tandem on the Earth’s surface; these interactions are what inspire and drive my research.
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.
I have an interest in conservation induced livelihood change, forest governance, conservation partnerships and Indigenous-led conservation governance. My work seeks to improve the social and ecological outcomes of conservation governance.
My research focuses primarily on the genetic regulation of innate immunity in animals, with a particular focus on innate immune pattern recognition proteins.
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 is designed to better understand the relative risks that environmental stressors may pose to the biota of aquatic and terrestrial ecosystems with the goal of improving scientific and public understanding of those risks.
