My main research interests are in nonparametric and high-dimensional statistics. Particular topics include shape-constrained estimation problems; data perturbation methods (e.g. subsampling, bootstrap sampling, random projections, knockoffs); nonparametric classification; unconditional and conditional independence testing; estimation of entropy and other functionals; changepoint detection and estimation; missing data; variable selection; and applications, including public health, genetics, archaeology and oceanography. Some general articles and a video about my research can be found here, here and here.

Publications and preprints

Selected recent talks