His work focuses on learning and cognitive development. He is particularly interested in high-level cognition, including problems such as categorization, commonsense reasoning and language acquisition. Kemp approaches these problems by building computational models and testing them against behavioral data. Many of these models rely on probabilistic inference and draw on recent ideas from statistics, machine learning, and artificial intelligence.