معرفی
Todd Gureckis is a Research Professor of Psychology at New York University, affiliated with the Department of Psychology within the College of Arts and Science. His research focuses on understanding how humans learn, make decisions, and uncover environmental regularities through computational modeling. He earned his B.S. in Computer/Electrical Engineering (2001) and M.A./Ph.D. in Psychology (2005) from UT Austin, followed by a postdoc at Indiana University. Since 2008, he has been a faculty member at NYU.
**Education**:
- Ph.D. Psychology, University of Texas at Austin (2005)
- M.A. Cognitive Psychology, University of Texas at Austin (2004)
- B.S. Computer/Electrical Engineering, University of Texas at Austin (2001)
- Postdoc in Cognitive Modeling at Indiana University (2005-2007)
**Research Interests**:
His work integrates computational models to study learning, memory, and decision-making processes. Key areas include:
- Computational models of cognition
- Human-AI interaction and benchmarking (e.g., ARC tasks)
- Developmental inquiry strategies
- Neuroscience of vision and decision-making
- Active learning and educational technology
**Publications & Articles**:
Recent work explores topics like language model task representations, human performance on visual reasoning benchmarks, and cognitive costs in decision-making. His lab develops tools like psiTurk for online experiments and emphasizes open science practices.
**Lab & Collaborations**:
He leads the Computation & Cognition Lab at NYU, focusing on interdisciplinary research spanning psychology, AI, and neuroscience. Collaborators include experts in vision science, developmental psychology, and machine learning. The lab actively engages undergraduates and graduate students in projects.
