Before TTIC, he was a senior research scientist at Bloomberg L.P. (2016-2017). He received a PhD in computer science from Columbia University where he focused on spectral methods in the context of NLP. His PhD advisor was Michael Collins; he also worked closely with Daniel Hsu during this time. He is broadly interested in statistical approaches to language processing. He is particularly interested in methods that can leverage unlabeled data, making his research tend toward semi-supervised/unsupervised learning. His recent research interests include information extraction, in particular entity linking.