My research brings together natural language processing (NLP), privacy, and artificial intelligence.

My recent work with the Usable Privacy Policy Project uses a combination of crowdsourcing, NLP, and machine learning to extract key details from websites' and mobile apps' privacy policies. I am also interested in privacy in online social networks, and within that topic area I have published on location sharing and post deletion.

I collaborate with researchers outside of computer science to apply NLP to a variety of problems. Two recent examples of this are detecting historical trends in building preservation priorities and assessing the readability of text in biomedical domains.

A line of research that I call "the metalanguage project" is another part of my continuing work. This is an effort to automatically identify instances of metalanguage (i.e., statements about language use or production) in text and extract from them direct, precise information about artifacts of communication.

You can watch the video below about the NLP components of the Usable Privacy Policy Project. It's part of a series of videos describing our work.

I can provide a more comprehensive research statement upon request. You may also browse my publications.