I'm a 4th year graduate student in the Computational Cognitive Neuroscience Lab at Harvard University. I work on understanding how people do probabilistic inference. Specifically, I'm interested in how people might be trading-off between the precision/accuracy and the computational costs of various algorithms for statistical inference. I study this by building computational models that make predictions about human behavior in various tasks, and subsequently testing these predictions.
I am also interested more broadly in bounded optimality and resource-rational inference algorithms from an AI and machine learning perspective.