Hello!

How do people solve big problems with small brains? My research tries to answer this question through the lens of adaptative computation. People use cognitive strategies that are well-suited to both their external environments and their internal computational constraints. I characterize these strategies using AI theory (like reinforcement learning and metareasoning) and process-tracing experiments (like eye- and mouse-tracking). I also study how and why cognitive strategies go awry (e.g., in mental illness) and what we can do to help people think in more productive ways.

I'm an Assistant Professor in the Cognitive Science program at Dartmouth College. Previously, I was a postdoc with Marcelo Mattar and Fiery Cushman. I did my PhD with Tom Griffiths at Princeton and I received my B.A. in Psychology and Linguistics from Cornell University under the advising of Shimon Edelman.

Here is a reasonably up-to-date CV.

new and improved lab website coming "soon"

Representative papers

Asterisks indicate shared lead/senior authorship.

F Callaway, B van Opheusden, S Gul, PK Krueger, P Das, F Lieder^*, TL Griffiths^* (2022). Rational use of cognitive resources in human planning. Nature Human Behavior.

F Callaway, A Rangel, TL Griffiths (2021). Fixation patterns in simple choice reflect optimal information sampling. PLoS Computational Biology.

F Callaway, TL Griffiths, KA Norman (2023). Optimal metacognitive control of memory recall. Psychological Review.

F Callaway^*, M Hardy^*, TL Griffiths (2023). Optimal nudging for cognitively bounded agents: A framework for modeling, predicting, and controlling the effects of choice architectures. Psychological Review.

F Callaway, YR Jain, B van Opheusden, P Das, G Iwama, S Gul, PM Krueger, F Becker, TL Griffiths^*, F Lieder^* (2022). Leveraging artificial intelligence to improve people's planning strategies. Proceedings of the National Academy of Sciences.