What I Study

I am interested in human intelligence not just for its remarkable successes, but also for its characteristic limitations and failures. To me, a good mechanistic model of cognition should explain both what people do well and where they systematically go wrong.

My research draws on cognitive science, neuroscience, and machine learning to study how people learn, plan, and make decisions under uncertainty. As side quests, I also study affective experiences and think about how computational models could help us move toward more precise mental health care, particularly by improving diagnostic frameworks and revealing the mechanisms that underlie clinical symptoms.