My research background lies in the domain of intelligent systems, primarily in AI and cognitive science, with a focus on understanding how intelligent agents interact with, understand, and use visual information.
My recent work has examined visual cognition in individuals with autism spectrum disorders (ASD) from a computational perspective to learn how different kinds of mental representations affect everyday activities such as learning, problem solving, communication, and social interaction.
More generally, I am interested in how the combination of information processing accounts of cognition, computational modeling techniques, and innovative forms of interactive technology can augment the basic science of cognition as well as current practices in real-world settings.
I hold a Ph.D. in Computer Science from Georgia Tech and a B.S. in Mathematics with Computer Science from MIT.