My interests, in no particular order, include Web mining, social networking, query log analysis, web ranking, mass collaboration, online advertising, and online communities. I tend to work within the fields of machine learning and data mining. Most recently, I have been working on natural language processing (e.g., machine reading and semantic parsing). See our Machine Comprehension Test (MCTest), a freely-available set of 660 fictional stories and reading comprehension questions, intended to act as a benchmark for measuring how well a machine understands a short passage of text.
I graduated with a Ph.D in Computer Science from the University of Washington in 2004. My thesis was on learning and inference in collective knowledge bases, a topic I am still quite interested in. I received my Bachelor’s degree in Computer Science from the California Institute of Technology (better known as Caltech) in 1997.