He received his Ph.D. in Linguistics at New York University and spent 2 years as a postdoc in the Psychology department at Stanford. He works in semantics, pragmatics, and psycholinguistics, with a particular focus on using probabilistic and decision-theoretic models to unite linguistics and computational cognitive science. He is the author of Measurement and Modality: The Scalar Basis of Modal Semantics (OUP, to appear), which advocates a unified semantics for modals and scalar expressions on Bayesian principles.