My research in artificial intelligence (AI) and computational cognitive systems seeks to understand what role visual representations of knowledge play in learning and intelligent behavior.
My work 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.