Eeshan works at the intersection of natural and artificial intelligence, building computational models of Decision Making. He is interested in how both systems construct representations of the world. He is interested in how attentional process shape dynamically representations. He is also interested in how individuals differ from each other and can produce collective intelligence. He finished his PhD at Indiana University with Jennifer Trueblood and is currently conducting his postdoctoral training with Brandon Turner. Website: www.eeshanhasan.com