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Julia Gaudio is an Assistant Professor in the Department of Industrial Engineering and Management Sciences at Northwestern University, with a courtesy appointment in the Department of Computer Science. She obtained her PhD from the Massachusetts Institute of Technology in the Operations Research Center. Her research primarily focuses on network inference and reconstruction problems, as well as high-dimensional probability. Julia has contributed to various significant publications in the field, including works on community detection in hypergraphs and exact community recovery in geometric stochastic block models. Her work aims to advance the understanding of spectral algorithms and community recovery processes in complex networks, showcasing her role in the intersection of theoretical and applied aspects of network analysis.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.