Faith Gilbert is a graduate student at the Laboratory for Brain, Body, and Behavior. My interests are in how human observers learn threat and safety cues, and how this learning is influenced by prior and acquired associative bias. Particularly, I seek to use machine learning approaches to explore underlying patterns of higher-order conceptual representations and changes in these representations during associative learning. This methodology includes the use of combined EEG-fMRI data collection, multivariate analysis methods, and the implementation and curation of naturalistic stimuli.