My research is in the area of nuclear physics, using the atomic nucleus as a laboratory to understand the fundamental forces of nature, the origins of the elements in the Universe, and how simple patterns emerge from complex systems.
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.
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.
We a research-intensive laboratory focussed on improving human health, circadian biology, new treatments for heart disease, and our results are published in high impact journals.
I have a diverse range of interests related to herbivorous insects in agroecosystems, including the phytochemicals that influence insect interactions with host plants, factors influencing...
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.
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.
The research that we conduct in my laboratory aims to understand the causes of infertility at the gene level and pinpoint the mechanisms through which toxicants affect fertility both in humans and farm animals. Understanding how things happen will help in finding ways of overcoming it.
