Biology can be described as a tangled web of diverse processes operating at many spatial and temporal scales that interact to produce the complexity of our living world. The role of theory in biology is to make sense of this complexity, derive general properties of living systems based on the constituents, provide insight into how such systems arose and suggest methods we might effectively use to reduce the negative impacts of human actions on the living components of our planet. As with all areas of science, mathematics is the language we use to effectively describe, analyze, and predict responses of living systems. A particular challenge in mathematical modeling of biological systems is the multiple scales of interaction and the hierarchical modular nature of biology at all levels from that within the cell to that of an ecosystem. Mathematical approaches that deal with multiple scales and provide methods to determine the emergence of properties of aggregated systems from that of the components are at the forefront of hybrid modeling. Much of this effort in mathematics has been motivated by biology. This symposium presents researchers who have used multiscale mathematical approaches to provide novel insight for diverse levels of biological organization. History shows that methods found to be useful in analyzing a particular biological system are readily transferable to other systems. Attendees will find novel areas of biology for which these methods are applicable.