My research lies in the space of machine learning and causal inference, with a focus on heterogeneous treatment effect estimation: how treatment affects individuals differently. I am particularly interested in applications of my work in social science and personalized privacy assistants. I'm also interested in applying causal inference and machine learning for applications to social science, privacy, social networks.