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Miklos Racz is an Associate Professor in the departments of Computer Science and Statistics at Northwestern Engineering. His research interests are broadly situated at the intersection of probability, statistics, computer science, and information theory. Dr. Racz focuses on combinatorial statistics and discrete probability, as well as applied probability. His work primarily revolves around statistical inference problems related to large random discrete structures and random graphs. Notably, he is involved in inferring structures and properties of randomly growing graphs and high-dimensional random geometric graphs, tackling graph matching issues, and community detection in networks. Additionally, he has explored topics in social networks, network dynamics, voting mechanisms, sequence reconstruction, and DNA data storage. His selected publications reflect a significant contribution to the field, including works that discuss graph isomorphism, community recovery methods, and latent space graphs.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.