Blake Mason (Electrical and Computer Engineering), advised by Rob Nowak (Electrical and Computer Engineering) and Jordan Ellenberg (Mathematics), is investigating problems of learning from comparative data, such as ordinal comparisons and similarity/dissimilarity judgements. In particular, he is studying metric learning and clustering problems in this setting with applications to personalized education, active learning, and representation learning. Additionally, he studies approximate optimization techniques for extreme classification applications.