Brett Roads
Graduate Student - PhD Combined
Computer Science • Mozer Lab

Office location: ECCS 127

research interests key phrases:
visual categorization, human visual category learning, computational modeling, visual training

In a few sentences:
Humans have an incredible capacity to discover subtle statistical regularities about the visual world. For example, humans can learn to distinguish between similar bird species and diagnose medical images. Although a valuable skill in society, the process of becoming a visual expert is often effortful and time-consuming. I am interested in using computational models to help understand the aspects of experience that are critical to becoming an expert. By leveraging this understanding, I am interested in developing training software that minimizes unnecessary obstacles and amplifies productive learning episodes.