Roger P. Levy is Professor of Brain and Cognitive Sciences at the Massachusetts Institute of Technology. His research lies at the intersection of linguistics, psychology, and artificial intelligence, and language understanding, production, and acquisition in humans and artificial systems. He combines computational modeling, psycholinguistic experimentation, linguistic theory, and analysis of large datasets to advance our foundational understanding of the mechanisms of language learning and language processing. He completed his B.S. in Mathematics at the University of Arizona, his M.S. in Anthropological Sciences and Ph.D. in Linguistics at Stanford University, and his postdoctoral work in Informatics at the University of Edinburgh. He spent a decade as faculty in the Department of Linguistics at the University of California, San Diego, where he founded the world's first Computational Psycholinguistics laboratory, which he continues to lead at MIT. He is a leading proponent of rational, information-theoretic approaches to human language processing, including surprisal theory, Uniform Information Density, and noisy-channel human language processing theory. He has also made numerous contributions in probabilistic approaches to grammatical knowledge and to linguistic meaning, statistical analysis of hierarchically structured data, and to analysis of the linguistic generalizations made by modern neural network models and to neurosymbolic approaches to language processing and reasoning. Select honors include the Sloan Research Fellowship, the National Science Foundation CAREER award, a Fellowship from the Center For Advanced Study in the Behavioral Sciences, the MIT School of Science Teaching Prize, and the Guggenheim Fellowship. He currently serves as President of the Cognitive Science Society and is Chair-Elect of the MIT Faculty. Discovering a deep and profound love for language and languages is what set him on his career path; he speaks five languages with varying degrees of fluency, another several at a rudimentary level, and always looks forward to learning more.