Associate Professor, Electrical Engineering and Computer Science, College of Engineering
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.