I study politics and health, especially the social effects of government actions and how small groups of people adapt to sudden changes in their lives. 

My recent projects have studied the development of public attitudes toward the Affordable Care Act, how social networks heal after a death, and unintended consequences of online censorship in China. Most of my methodological work focuses on causal inference, representative sampling, and machine learning with small training sets.

Some of my work has been covered in popular media, including The Atlantic, Science Magazine, The New York Times, the Los Angeles Times, and The Wall Street Journal.