Preprint: 'Multi-Physics-Enhanced Bayesian Inverse Analysis: Information Gain from Additional Fields' (2025, arXiv:2510.11095)
Preprint: 'QUEENS: An Open-Source Python Framework for Solver-Independent Analyses of Large-Scale Computational Models' (2025, arXiv:2508.16316)
Published in Computer Methods in Applied Mechanics and Engineering (2026): Efficient Bayesian multi-fidelity inverse analysis for expensive and non-differentiable physics-based simulations in high stochastic dimensions
Published in Philosophical Transactions A (2025): Bayesian Windkessel calibration using optimized zero-dimensional surrogate models
Published in Inverse Problems (2024): Solving Bayesian inverse problems with expensive likelihoods using constrained Gaussian processes and active learning
Published in Computers in Biology and Medicine (2023): Calibration of multiphase porous media tumor growth model parameters based on in vitro neuroblastoma spheroid observations