Skip to main content

Ed Vul

Associate Professor of Psychology

I work at the intersection of the computational and algorithmic descriptions of human cognition, to reconcile models of cognition as statistically optimal computations with the resource limitations that cognitive psychology has documented. Specifically, I focus on two questions: How can we approximate optimal statistical computations despite our limited cognitive resources? And, do we use our limited resources optimally?