• Statistical Science
• Mathematics
• Computer Science
• Biostatistics and Bioinformatics
• Information Initiative at Duke

Research interests

• Statistical and computational methodology in genetics, cancer biology, metagenomics, and morphometrics;
• Bayesian methodology for high-dimensional and complex data;
• Machine learning algorithms for the analysis of massive biological data;
• Integration of statistical inference with differential geometry and algebraic topology;
• Stochastic topology;
• Discrete Hodge theory;
• Inference in dynamical systems.