Current research interests include data mining and computational finance
Generally interested in the design, analysis, and implementation of algorithms for scientific computing problems
Specific research topics: data-driven optimal financial decision making with a focus on robust and interpretable models, supervised and semi-supervised learning, feature selection, ordinal regression, similarity measures
Rare class learning (e.g., fraud detection, unsupervised auto insurance fraud detection)