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Robert Lunde’s research interests include statistical inference for network data, resampling methods, and distribution-free inference. Before joining the department, he was a postdoctoral researcher at the University of Michigan and the University of Texas. He earned his PhD in Statistics and Data Science from Carnegie Mellon University.