Mathematical Biology

该研究项目开发了新的数学和统计方法，并将其应用于解决环境和生态挑战。数学和统计方法涉及动力系统，以及参数估计和推断技术。生态和环境挑战包括模拟人类干扰下的动物运动模式，预测气候变化下种群分布的变化，评估和控制水产养殖与野生三文鱼之间的疾病相互作用，以及控制鹿的慢性消耗性疾病的传播。许多工作是跨学科的，并与野外生物学家合作。这项研究将为加强环境管理提供方法和环境决策工具。

The research program develops new mathematical and statistical methods and applies them to solving environmental and ecological challenges. Mathematical and statistical methods involve dynamical systems, and techniques for parameter estimation and inference. Ecological and environmental challenges include modelling animal movement patterns under human disturbance, predicting changes in population distributions under climate change, evaluating and controlling disease interactions between aquaculture and wild salmon, and controlling the spread of chronic wasting disease in deer. Much of the work is interdisciplinary and collaborative with field biologists. This research will provide methods for enhancing environmental stewardship and tools for environmental decision making.