I study how people make decisions. I am particularly interested in complex choice scenarios, where people must, for example, search for information, learn from experience, or plan for the future. Much of my work takes a cognitive perspective, with the goal of explaining the decision process in terms of psychological constructs such as attention, perception, learning, and memory.
Through a combination of behavioral experiments and computational modeling, I develop and test new theories of decision making. I mathematically formalize these theories as computational models that I compare and select according to various methods. In doing so, my work links traditional research domains in Psychology, Economics, Marketing, Management, Game Design, AI, and Public Policy.
We are currently recruiting research assistants with computer programming experience. If you are interested in working as research assistant in my lab, please fill out an online application.