I am a former graduate student of Steve Piantadosi, now doing a postdoc in Josh Tenenbaum's lab. My main interests are how people learn, perceive, and reason effectively in the face of processing constraints. My thesis work was aimed at understanding the mechanisms underlying visual numerosity perception. I've used behavioral experiments and computational models to link the visual information people gather from a scene 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.