Methodological and Theoretical Advances

Optimization, simulation, uncertainty quantification, causal inference, and Bayesian methodology

High-dimensional statistics, statistical learning theory, experimental design, and inference

Nonlinear, algebraic, operator, differential, and stochastic equations

Numerical analysis, linear algebra, approximation theory, multivariate analysis, and integration