I'm a graduate student in Steve Piantadosi's lab interested in computational models of perception and learning. In one line of research, I have been trying to understand the mechanisms underlying innate numerical cognition. Using behavioral experiments and computational models, I have tried to determine the link between the information people gather from the world to their ultimate perceptions of numerosity. I have shown that the psychophysics of number, including "subitizing" small numbers and Weber's law for higher numbers, reflects optimal inference under a limited informational capacity. See an explainer here. Other interests include understanding constraints on concept-learning (e.g. simplicity, runtime complexity) and how people bootstrap complex algorithms from smaller pieces.