Microbial natural history and molecular evolution

该项目旨在开发微生物进化的数学和计算模型，以捕获宿主内和宿主间尺度的动态，并结合突变过程。这些元素与计算统计方法的整合将产生一个框架，使基因组测序数据的推断。这些数学模型将应用于细菌基因组数据，以研究自然选择如何作用于实验和自然微生物种群。这里开发的数学模型和统计方法旨在适用于人类和家养动物的传染病，并可能影响公共卫生政策。

This project aims to develop mathematical and computational models of microbial evolution that capture dynamics at both within-host and between-host scales, combined with processes of mutation. Integration of these elements with computational statistical methods will produce a framework that will enable inference from genome sequencing data. The mathematical models will be applied to bacterial genomic data to investigate how natural selection acts on experimental and natural populations of microorganisms. The mathematical models and statistical approaches developed here are intended to be applicable to infectious disease of both humans and domesticated animals, and could influence public health policies.