My research focuses on concept-to-text generation, taxonomy induction and discourse. I am currently working on generating justifications for the decisions of a large hierarchical machine learning system in the context of the IARPA FUSE project.
I received my M.S. in Computer Science from Columbia in 2011. As an M.S. student I worked on argumentation detection and on detecting influencers in online conversations, advised by Owen Rambow at the Center for Computational Learning Systems.
Prior to grad school, I spent several years working as a software developer at a quantitative hedge fund. The experience had left me with an interest in applications of NLP and machine learning to financial prediction and with a deep appreciation for well-designed, transparent and test-driven enterprise-level software engineering.