Her recent research focuses on creating new methods–including both theoretical approaches and new estimation strategies–for identifying and validating causal effects. In particular, she studies the methods under which experimental findings can be extrapolated beyond the experimental sample. She also studies survey design methodologies, including a new survey sampling method that reduces reliance on post hoc weighting methods and alleviate non-response bias, and an transparent weighting methods that automate the selection of the optimal auxiliary vector on which to weight.