This workshop will focus on some mathematical and statistical challenges faced by the discipline of genomic epidemiology, which tries to study the spread, transmission, and other characteristics of infectious disease-causing microbes by leveraging the information contained in their genome. These challenges are exacerbated by the large amounts of data, the relative difficulty of ascertaining transmission patterns in real-life observations, and the inherent heterogeneity of microbes.