I will discuss how topological summaries can be used to model various shapes as well as other high-dimensional data. I will talk about geometric and statistical properties of the space of summaries and how these summaries are the result of various filtrations. I will then discuss why multi-parameter persistence would be a very nice tool for these problems. The first half of the talk will be a review and I will focus on some of my research in the second half.