Jonathan May is a research associate professor at the University of Southern California's Information Sciences Institute, where he directs the Center for Useful Techniques Enhancing Language Applications Based on Natural and Meaningful Evidence. His research areas include natural language processing, specifically machine translation, dialogue, semantic parsing, and formal language theory. Jonathan May received his Ph.D. in Computer Science from USC in 2010. Prior to re-joining USC and the Information Sciences institute in 2014, he was a research scientist at SDL Language Weaver.