I develop machine learning algorithms for tough problems—tending toward natural language processing applications. When I'm not in front of a whiteboard or computer, I'm probably climbing things, walking around on my hands, or eating delicious vegan food.
I'm working on my PhD with Jason Eisner. We're using reinforcement learning to speedup inference algorithms and developing the Dyna programming language. I've also worked with Andrew McCallum on Rexa and FACTORIE; Dan Roth on Textual Entailment.
FACTORIE is a probabilistic programming framework implemented as a software library in Scala. Providing users with a succinct framework for creating abritrary factor graphs with tied parameters, estimating parameters, and performing inference.
My personal arsenal of python utilities, recipes, scripts, and "gutted" components of other projects.