I aim to understand the neural basis of associative learning and decision-making, essential cognitive processes that enable us to construct a relational structure of the world around us and use such knowledge to solve daily problems.

We design complex and precise Pavlovian and operant tasks for rats or mice to learn and perform, and use techniques including in vivo electrophysiology, one- or two-photon imaging, widefield imaging, optogenetics, chemogenetics, neuropharmacology, statistical analysis, machine learning, and computational modeling to determine how neural population activities, especially in the prefrontal cortex and hippocampus, support computations necessary for associative learning and behavior.