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I was a PhD student in the Department of Computer Science at Columbia University, affiliated with the Natural Language Processing Group. My advisor was Kathy McKeown. I defended my thesis, Data-Driven Solutions to Bottlenecks in Natural Language Generation, in 2016.
My PhD research focused on hybrid concept-to-text and text-to-text generation, paraphrase mining and discourse. In particular, I was working on generating natural language justifications for the decisions of machine learning systems.
I received my M.S. in Computer Science from Columbia in 2011. As an M.S. student I worked on argumentation and on detecting influencers in online conversations, advised by Owen Rambow at the Center for Computational Learning Systems.