“For deep, fundamental, and wide-ranging contributions to mathematical statistics and statistical machine learning, including high-dimensional asymptotics (ridge regression, PCA), multiple testing, randomization tests, scalable statistical learning via random projections and distributed learning, uncertainty quantification for machine learning (calibration, prediction sets), robustness, fairness, and Covid-19 pooled testing via hypergraph factorization.”