My research in artificial intelligence (AI) and cognitive science seeks to understand what role visual representations of knowledge play in learning and intelligent behavior.
In particular, my work focuses on how intelligent agents use visual representations for tasks other than perception. While visual representations are certainly important for the act of seeing, my work explores the contributions of visual representations to higher-level functions such as problem solving, learning, and social interaction.
My research has two broad objectives:
1. I aim to leverage what we know and what we are learning about human intelligence to build increasingly more intelligent machines that approach human-level performance on a variety of tasks.
2. I aim to use innovations in technology and computational modeling to improve our understanding of human intelligence, in order to advance basic research into cognition and neuroscience as well as to create positive, real-world impact in domains such as education and neuropsychological assessment.
I hold a Ph.D. in Computer Science from Georgia Tech and a B.S. in Mathematics with Computer Science from MIT.