I'm interested in computational systems that learn from data how to solve real problems. A major problem is human communication: although technology has broken down communication barriers of all kinds all over the world, the biggest barrier remains the fact that humans speak many different languages. My research centers on algorithms and models for statistical natural language processing systems, and I draw on diverse ideas from (mostly) computer science to build these systems.

Professionally, I am a postdoctoral research fellow working with Philipp Koehn in the machine translation research group. I earned my Ph.D. in computer science at the University of Maryland, where I worked with Philip Resnik. I've had the good fortune to collaborate with many excellent researchers, including Abhishek Arun, Michael Auli, Phil Blunsom, David Chiang, Chris Dyer, Barry Haddow, Hieu Hoang, Rebecca Hwa, Nitin Madnani, Christof Monz, Mike Nossal, and Michael Subotin.