
Clayton Scott
Associate Professor
EECS, College of Engineering
Statistics, LSA
Professor of Electrical Engineering and Computer Science, College of Engineering and Professor of Statistics, College of Literature, Science, and the Arts
I study patterns in large, complex data sets, and make quantitative predictions and inferences about those patterns. Problems I’ve worked on include classification, anomaly detection, active and semi-supervised learning, transfer learning, and density estimation. I am primarily interested in developing new algorithms and proving performance guarantees for new and existing algorithms.