Devaluing energy-dense foods for cancer control

This project is a large-scale randomized-control trial that investigates the efficacy and mechanisms of a healthy eating invention. Specifically, the RCT compares a cognitive reappraisal training, in which participants change the way they think about unhealthy food, to a behavioral response training, in which participants modify their physical motor responses to food stimuli to train neural inhibitory control circuits. Currently, I am working on developing a precision medicine analysis pipeline around a series of additional measures that have been added to this parent R01 as part of the National Center for Biotechnology Information’s ADOPT Project (Accumulating Data to Optimally Predict Obesity Treatment). The ADOPT project aims to solve the precision medicine problem for obesity treatment by identifying core measures assessing a range of behavioral, biological, environmental, and psychosocial factors that contribute to obesity. My role in this project is to develop the analytical infrastructure to create and validate composites of low-cost, easily administered individual difference measures that moderate response to the healthy eating interventions in terms of both magnitude and timing.