Co-authors
29
list available
Resume (English only)
Academic Achievements
- No specific academic achievements provided.
Research Experience
- Currently a Professor in the School of Interactive Computing at Georgia Tech and a faculty member in the Cognition and Brain Science program in the School of Psychology.
Education
- B.S. in Mathematics and Cognitive Science from Carnegie Mellon University; Ph.D. in Cognitive Psychology from Vanderbilt University. Completed a post-doctoral fellowship at Stanford University and was the Huebner Chair in Education and Technology at the University of Minnesota before joining Georgia Tech.
Background
- A cognitive scientist with research interests in Cognitive Science, Neuroscience, Learning Sciences, Artificial Intelligence, and Machine Learning. His primary lines of research include mathematical cognition (e.g., human intuitions about geometric and topological concepts), computational thinking (e.g., human solutions to computationally hard problems such as the TSP), language understanding (e.g., the cognitive plausibility of large language models), learning (e.g., continual learning in humans and machines), and problem solving (e.g., optimization under constraints). He also investigates the neural correlates of cognitive mechanisms and the educational implications of cognitive learning principles.
Miscellany
- No additional information on personal interests or hobbies provided.