My research group’s expertise lies in the development of physics-based molecular models and simulation methods as well as data-driven machine learning models for designing and characterizing soft macromolecular materials. In this talk, I will highlight examples from my group’s recent work to showcase how we develop and use computational tools to interpret experimental characterization data from small angle scattering and electron microscopy. I will also show how we use these methods with experimental data that are either in the literature or shared by our collaborators in order to establish structure-property relationships for soft materials.