My lab’s research focuses on discovering the cognitive and neural mechanisms that make human behavior flexible and goal-directed. We achieve this using a variety of techniques, applying network science, computational modeling, and machine learning approaches to data collected from the human brain (with fMRI, MEG, EEG, diffusion MRI, and behavioral measures) and neural network simulations. Much of this work involves understanding the role of brain connectivity in producing the computations apparent in task-driven brain activity patterns and behavior. This facilitates theoretical understanding of cognitive processes as they emerge from brain network interactions, providing insights into both natural and artificial intelligence.