I study motivated behavior change. My approach is interdisciplinary and multimodal: I use diverse methods (e.g., genomics, pharmacological manipulation, neuroimaging, eye tracking, mobile experience sampling and physiological monitoring) to resolve and integrate the many signals that describe individual behavior. By characterizing the neural and psychological mechanisms supporting learning, cognitive control, and decision making, I develop robust models of behavior that can inform more effective behavior change interventions.
My current research focuses on three questions:
How does motivational context shape learning and decision making?
What drives individual differences in goal-directed decision making?
Can computational cognitive neuroscience approaches identify novel, neurally-informed targets for more precise, personalized behavioral change intervention?
Selected works in progress
©2021 Shabnam Hakimi