Adaptive Computational Cognition Lab
Adaptive Computational Cognition Lab

Principal Investigator

Chris R. Sims, Ph.D.

Chris received a B.S. in computer science from Cornell University (2003), followed by a Ph.D. in Cognitive Science from Rensselaer Polytechnic Institute in 2009. After completing his Ph.D., Dr. Sims held a postdoctoral research position at the University of Rochester, and a faculty position at Drexel University before returning to RPI in 2017. Dr. Sims's 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. Dr. Sims pursues this research using a multidisciplinary approach, combining computational modeling and behavioral experiments.

Graduate Students

  • Rachel Lerch

    Rachel joined the PhD program in the fall of 2014. Rachel is interested in understanding the memory, learning, and decision processes that enable people to carry out intelligent adaptive behavior. These interests have influenced specific questions in recent projects such as: How might the costs of misremembering influence how and what we remember? How does motor expertise influence perceptual memory for human motion? As well as, what information sources do people rely upon in the assessment of skill and expertise in human movement?

  • Zeming Fang

  • Zeming joined the PhD program in the Fall of 2018.

  • Tyler Malloy

  • Tyler joined the PhD program in the Fall of 2018.

  • Peter Hitchcock

    Co-mentored. PhD completed 2019. Currently a post-doc at Brown University.

Undergraduate research assistants:

  • Alexandra Zytek

  • Shuyue Zheng