Bio
I am interested in examining how people make decisions in complex environments or with complex information. To untangle the complexity of these decisions, I use techniques from machine learning and data science, including natural language modeling and predictive models. My past projects have included studying how people interpret social information to decide whether to engage in health-protective behaviors; how graduate admissions committees incorporate structured and unstructured information in deciding who to admit; and how prior experiences influence an individual’s decision between risky and safe propositions of reward. Outside of academia, my interests include creative writing, perfume-making, and video games.
Area: Cognitive Psychology
Advisors: Tim Pleskac
Interests: Decision-making in complex and naturalistic environments
The College of Arts