Percy Liang

Percy Liang is Lead Scientist at Semantic Machines and Assistant Professor of Computer Science at Stanford University. His research spans theoretical machine learning to practical natural language processing; topics include semantic parsing, question answering, machine translation, online learning, method of moments, approximate inference, Bayesian modeling, and deep learning. He has over 60 publications appearing in top venues and has received several paper awards. Percy received a B.S. in computer science from MIT and a Ph.D. from UC Berkeley in 2011. After graduation, he spent one year at Google, where he was one of the founding members of the semantic parsing team. His awards include an IJCAI Computers and Thought Award (2016, given to a single AI researcher every two years), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014).