Our research centers around human learning and decision making, integrating behavioural, computational, and neuroscience perspectives. We are interested in using large real-world data sources to understand human behaviour and its underpinnings.
- Gerrymandering and computational redistricting Journal of Computational Social Science DOI: 10.1007/s42001-019-00053-9
- Structured, uncertainty-driven exploration in real-world consumer choice Proceedings of the National Academy of Sciences DOI: 10.1073/pnas.1821028116
- Selective attention in rat visual category learning Learning & Memory, 26 (3), 84-92 DOI: 10.1101/lm.048942
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