His research interests are in the intersection of natural language processing and machine learning. In particular, he focuses on designing latent variable learning algorithms that recover rich representations of linguistic meaning for situated natural language understanding. He received the best paper award in EMNLP 2015, his B.Sc. summa cum laude from Tel Aviv University, and his Ph.D. from the University of Washington.