I am interested in studying cognition, learning, and behavior from a computational perspective, particularly in the context of high-level reasoning and problem solving.
My recent work has focused on how intelligent agents interact with, understand, and use visual information, specifically looking at the role of visual mental representations in the cognition of individuals with autism. More generally, I seek to investigate how the combination of information processing accounts of cognitive functioning, computational models of reasoning, and innovations in interactive technology can augment the basic science of cognition as well as current practices in education, communication, and social interaction.
I will be graduating this coming May with my Ph.D. in Computer Science from the School of Interactive Computing at Georgia Tech, and I hold a bachelor's degree in Mathematics with Computer Science from MIT.