Faculty

Research Interests: model-based clustering, application to flow cytometry, nonparametrics, regression trees, variable activity.

Research Interests: Optimization, Machine learning theory, High-dimensional statistics, Causal inference

Research Interests: Connection between optimization, MCMC sampling, dynamical system, interacting particle system; Blending machine learning with traditional numerical algorithms for: PDE, sampling, optimal transport, control; AI4Science: data-driven approaches to computational problems arising in physics & chemistry

Research Interests: Deep learning theory, optimization

Research Interests: High Dimensional CLT, Strong Approximation, Dependent Data, Factor models, Casual inference.

Research Interests: Mixed-effect models, multiple inference, model selection, post-selection inference and classification

Research Interests: use of non-traditional sources of data to study problems in data-scarce settings, with a focus on conflict, crime and the developing world.

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.

Research Interest: Random Matrix Theory, high dimensional statistics, non-stationary time series analysis, statistical optimal transport, statistical learning theory.