People

Research Interests: Uncertainty quantification in high dimensions, algorithmic stability, and predictive inference

Research Interests: Spatial Statistics, Non-Stationary Random Fields, Applications to Astronomy and Cosmology

Research Interests: Time Series Analysis, Change-Point Problems, Functional Data, High Dimensional Statistics

Research Interests: Deep learning Theory; Sampling and Stochastic Optimization; Geometric, Topological and Nonparametric statistics

Research Interests: Nonparametric function estimation, model fitting/selection, image analysis, time series, discrete data.

Research Interests: Nonparametrics, Change-Point Problems, Categorical Data Analysis, High-Dimensional Inference

Research Interests: Manifold learning, deep learning, and large foundation models; High-dimensional statistics and applied random matrix theory; Non-stationary time series analysis; Applications in biological and medical sciences

Research Interests: Causal Inference, Missing Data, Epidemiology

Research Interests:  Practical and theoretical Bayesian statistics with application to public health and medicine, demography, environmental data, small area estimation, official statistics, fMRI and survey sampling data, among others.