Sparsity, shrinkage, and false discovery rates, particularly for complex inter-related datasets.
Factor Analysis, dimension reduction, and estimation of large covariance matrices.
Clustering methods, and generalizations (eg grade of membership)
Applications of multi-scale and wavelet methods to genomic data
Reproducible research and open science