Curriculum Vitae: Curriculum Vitae (PDF)
- Learning and decision-making under uncertainty
- Visual memory and perceptual expertise
- Sensorimotor control and motor learning
- Computational models of cognition
Chris Sims received a BS degree in computer science from Cornell University. Following his undergraduate studies, he enrolled in the cognitive science program at Rensselaer Polytechnic Institute, where he received his PhD in 2009. Chris held a post-doctoral research position at the University of Rochester before joining the faculty at Drexel University in 2013.
Sims' primary research interest lies in understanding how cognitive, perceptual, and motor resources are organized and coordinated towards the efficient achievement of goals in the world. Specific ongoing research projects include studying how the important features of a visual scene are selected and stored in short-term memory, and investigating how eye movements are coordinated with motor acts in natural tasks. Other research projects include examining how humans make decisions in situations characterized by limited information and uncertainty, and how (and how well) people learn from feedback in these environments. Each of these research questions are addressed using a combination of empirical studies and developing state-of-the-art computational models of cognitive processes. Computational cognitive models serve as an explicit implementation of a theory, but can also have practical applications, such as monitoring human performance in real-time to aid performance or detect errors, or assess the course and extent of learning.