He received his PhD in Computer Science and Engineering from the University of Washington in 2007, and his B.A. in Applied Mathematics from Harvard University in 2001. His research interests span all aspects of artificial intelligence, machine learning, natural language processing, and computer vision. Currently, his research focuses primarily on integrating diverse sources of information about text -- such as structured data, manually-annotated text, and unannotated corpora -- to develop systems that understand the meaning of written language.