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Chris Genovese is a Professor and Chair of the Department of Statistics at Carnegie Mellon University. He earned his Ph.D. in Statistics from the University of California, Berkeley in 1994 and subsequently joined Carnegie Mellon University. His research focuses on high-dimensional nonparametric inference problems, particularly in relation to complex scientific questions. His applied work spans a variety of scientific areas, including cosmology, neuroscience, and evolutionary biology. He leads projects aimed at developing systems to infer students' learning states at a skill-by-skill level using rich online learning data. One of his recent projects in collaboration with researchers at Magee-Womens Hospital revolves around developing novel methods for predicting placental and fetal health by analyzing trace signals measured during pregnancy.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.