Nathan Schneider is an Assistant Professor with a joint appointment in the Department of Linguistics and the Department of Computer Science. He received his BA in 2008 from UC Berkeley, with a double-major in Linguistics and Computer Science, and his PhD in 2014 from Carnegie Mellon University's Language Technologies Institute in the School of Computer Science. His research addresses the semantics of natural language text, examining both how humans can represent meaning computationally, and how algorithms can recover meaning from text for scientific inquiry and for natural language processing applications. At Georgetown he teaches courses in natural language processing and computational linguistics.