I am a post-doctoral researcher at UC Davis in Charan Ranganath’s Dynamic Memory Lab and a visiting scholar at the University of Pennsylvania with Sharon Thompson-Schill. I am interested in how we transform experience – which is specific and sensory – into abstract knowledge, using inferential learning mechanisms. I use statistical learning paradigms to investigate how we spontaneously extract relational patterns from statistics about events, how we use such patterns to make conceptual judgments, and which neural pathways enable both of these abilities. I use an innovative combination of quantifiable, well-characterized stimuli, rich conceptual measures, and nuanced neuroimaging analyses. My approach uniquely bridges insights from statistical learning, episodic memory, causal reasoning, and semantic memory to tackle some of the most abstract aspects of cognition. I received my doctoral training at Harvard University under the mentorship of Alfonso Caramazza.