Hi! I’m a Senior Data Scientist with experience on a wide variety of machine learning-based applications from ideation through implementation and production deployment. I currently work at The Washington Post where I’ve developed election forecasting and inference models and improvements in content recommendation. I previously lead data science initiatives at the Associated Press to predict election turnout (Expected Vote) and improve search result relevance and keyword query understanding. Before that, I worked on automated writing assessment and feedback at Educational Testing Service (ETS) where I was a primary developer of the e-rater writing scoring engine and the lead developer of the TextEvaluator system for measuring text complexity.

I have also held roles in product management, college-level teaching, and academic research. I have a M.S. degree in Computer Science from the State University of New York at Stony Brook and a B.S. in Computer Science with a minor in History from the State University of New York at Binghamton. I participate in peer review for the Association for Computational Linguistics (ACL) and I’m a member of the ACL’s Special Interest Group for Building Educational Applications. In my spare time, I serve as a Statistical Consultant for Statistics Without Borders, and like going to concerts, playing with my dog, and increasing my French score on Duolingo.

You can see all of my experience here and overviews of my most-recent projects, including open-source, here.