Shabnam Hakimi is a Senior Research Scientist on the Machine Assisted Cognition team. Shabnam studies motivated learning and decision-making, leveraging neuroscience to develop novel behavior change interventions that help individuals meet their goals. She has a particular interest in motivational dynamics and their effect on flexible self regulation.
Shabnam earned a Ph.D. in computation and neural systems from Caltech and a B.A. in psychology from Stanford University. Prior to joining TRI, Shabnam honed her multidisciplinary expertise in predicting and shaping human behavior at diverse organizations, including Duke University, the University of Colorado Boulder, Welltok, and the National Institute of Mental Health. Her work has previously been supported by prestigious awards from the National Institutes of Health and National Science Foundation.