About Me

I'm a postdoc in the computer science department at Princeton University. My PhD was completed at UC Berkeley, advised by Tom Griffiths. My recent work explores how machine learning can be used to supplement the ingenuity of researchers by automating the search for interpretable theories of human behavior.

Featured Publications

Using large-scale experiments and machine learning to discover theories of human decision-making

Joshua Peterson, David Bourgin, Mayank Agrawal, Daniel Reichman, Thomas Griffiths (2021)

Science

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Capturing human categorization of natural images by combining deep networks and cognitive models

Ruairidh Battleday*, Joshua Peterson*, Thomas Griffiths (2020)

Nature Communications

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* equal contribution

Scaling up psychology via Scientific Regret Minimization

Mayank Agrawal, Joshua Peterson, Thomas Griffiths (2020)

Proceedings of the National Academy of Sciences (PNAS)

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Featured Conference Papers

Human uncertainty makes classification more robust

Joshua Peterson*, Ruairidh Battleday*, Thomas Griffiths (2019)

IEEE International Conference on Computer Vision (ICCV)

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* equal contribution

Cognitive model priors for predicting human decisions

David Bourgin*, Joshua Peterson*, Daniel Reichman, Thomas Griffiths, Stuart Russell (2019)

International Conference on Machine Learning (ICML)

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* equal contribution