BIO: Percy Liang is an assistant professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His research focuses on methods for learning richly structured statistical models from limited supervision, most recently in the context of semantic parsing in natural language processing. He is the recipient of Sloan Research Fellowship (2015) and Microsoft Research Faculty Fellowship (2014). He won a best student paper at the International Conference on Machine Learning (ICML) in 2008, received the NSF, GAANN, and NDSEG fellowships, and is also a 2010 Siebel Scholar.