Applied Mathematics graduate student Matthew Farrell, mentored by Eric Shea-Brown recently successfully defended his thesis, focused on the behavior of artificial neural networks. These networks form representations of input data and transform these representations gradually over stages, such as the layers of a deep neural network. Matt investigated how the structure of these representations changes over these stages and what drives these changes. Dr. Farrell plans to continue his research as a postdoctoral fellow at Harvard.