I joined the D'Esposito Lab in the Fall of 2009 after receiving my Ph.D. from UCLA with Dr. Russ Poldrack. My graduate work utilized functional MRI and focused on understanding executive control. I examined how different types of control are related to each other both behaviorally and neurally, and how reinforcement learning and control change throughout development. Currently, I am extending this line of research to explore individual differences in the functional networks underlying executive control, focusing on working memory. I am interested in the dynamic changes in brain organization that occur as cognitive demands change and how those changes may be adaptive (i.e., relate to performance). My approach utilizes convergent methods taken from psychology, neuroscience, and mathematics, such as computational modeling, machine learning, functional and resting state connectivity, and graph theory.