Research

Selected active research areas include:
– Optimization (Bayesian optimization, large-scale optimization, multi-objective optimization, constrained optimization)

– Machine Learning (Bayesian ML, robust learning, statistical learning theory, deep learning, time-series modeling, among other topics)

– Inverse problems (likelihood-free inference / simulation-based inference, black-box inverse problems)

– Statistical Sampling (design of experiments, active learning, adaptive sampling)