I graduated with a Ph.D., in computer science from New York University in 2008. My thesis proposed a first of its kind neural network model for doing relational regression, and was a conceptual foundation for a startup company for modeling residential real estate prices. Following my Ph.D., I joined AT&T Labs – Research as a research scientist in the machine learning department, where I focused on building novel deep learning models for speech recognition, natural language processing, and computer vision. While at AT&T I also worked on other areas of machine learning, such as, recommender systems, computational advertisement, and ranking. I have been a research scientist at Facebook AI Research since April 2014, where I have been focusing primarily on language understanding.


Deep learning models with applications to natural language processing and computer vision