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 primary research goals are currently directed towards building AI agents for active threat hunting in Internet of Things (IoT), Industrial Internet of Things (IIoT) and Internet of Battlefield of Things (IoBT).
My research improves life by assessing workplace tasks and devices for end user injury potential. Once the risk is understood, new methods and devices are designed to minimize the potential of developing injuries such as carpal tunnel syndrome.
Immigrant families settling the land, quilting bees, and ploughing matches are examples of some of the social and economic topics of early Ontario that link my work to the larger expertise of this University concerning agriculture and rural communities.
We study light-activated membrane proteins important in bioenergetics and vision. In our research, we combine methods of modern biophysics with techniques of molecular biology and biochemistry.
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.
