Bojana Rosic is head of the Applied Mechanics & Data Analysis group, MS3 Department, Faculty of Engineering Technology, University of Twente, Netherlands. Her research interest lies in an interplay of nonlinear mechanics/structural dynamics modelling and the development of machine learning/uncertainty quantification techniques with the focus on the predictive modelling of systems/processes/materials, and their assimilation with the measurement data. In particular, the focus is on the stochastic modelling of systems/processes/materials and their control (Uncertainty quantification/Bayesian learning/Model predictive Control and Reinforcement learning, Generative Design).