Professor of Statistics at Stanford University. Specialized in exploratory data analysis for biological applications. Teaches statistics and introduction to crypto at Stanford. Breiman lecturer at NIPS 2016. Most interested in open access data and reproducible research for biomedical applications. Moderator for the Statistics subject on the arXiv preprint server. Author of several books and web resources for data visualization and analyses using R and multivariate analyses. Specialized in analyses of heterogeneous data, ie networks, trees and multi-domain data. Has written several R packages for visualization of combined data sets.
Keywords: Principal components, multivariate analyses, statistics, unsupervised learning, open access, reproducible research, cancer, immunology, microbiome, data integration, data fusion