DEPARTMENT OF STATISTICS AND DATA SCIENCE

My research interests lie broadly at the interface of probability, statistics, computer science, and information theory, with a focus on combinatorial statistics, discrete probability, and applied probability. The bulk of my work studies statistical inference questions on large random discrete structures such as random graphs. These include inferring the past in randomly growing graphs, inferring latent geometry in high-dimensional random geometric graphs, graph matching problems in correlated random graphs, and community detection. I am also interested in, and have worked on, social networks, dynamics on networks, voting, sequence reconstruction, and DNA data storage.