Activities

Organization

• NDNS+ Special Activity Group on Uncertainty Quantification, with S. Dubinkina, W. Edeling, K. Lux-Gottschalk.
• Member of Next Generation Committee for WCCM – ECCOMAS 2026 (19-24 July).
• Strategic Research Initiative Advancing Mathematical Methods for Wave Phenomena (2024-2026), with J. Koellermeier, V. Nikolić, C. Pérez-Arancibia, C. Urzúa-Torres.
• CWI Semester Programme Uncertainty Quantification for High-Dimensional Problems in Fall 2024, with W. Edeling, O. Mula, P. Coveney, R. Dwight.
• Member of organizing committee for Woudschoten 2024 (25-27 September).
• Radboud Summer School Quantifying Uncertainty: Prediction and Inverse Problems (8-12 August 2022).
• Workshop Nonlinear PDEs: Analysis & Simulation, with R. Cristoferi and V. Nikolić (24-25 March 2022).
• Applied Analysis Seminar (since 2021), Radboud University, with V. Nikolić.
• Modeling camp for IMAPP PhD students and postdocs (since 2021), Radboud University.
• Conference minisymposia:
  • Learning High-Dimensional Functions: Approximation, Sampling, and Algorithms at SIAM UQ24, with S. Brugiapaglia, N. Dexter, W. van Harten.
  • Exploring Complexity in Life Sciences with Modeling and Simulations at SIAM CSE23, with D. Avitabile, F. Cavallini, G. Lord.
  • Shape Uncertainty Quantification meets Shape Statistics at SIAM UQ22, with M. Zhang.
  • Efficient simulation of random fields and applications at ENUMATH2019, with K. Podgórski.

Recent invited talks

Starting from October 2024:

• NASC seminar, The University of Manchester, The role of frequency in quantifying uncertainty in time-harmonic wave scattering (November 2025).
• INF seminar, USI Lugano, Forward and inverse shape uncertainty quantification in time-harmonic scattering (April 2025).
• 95th GAMM annual meeting, Poznań, Bayesian shape inversion in time-harmonic scattering (March 2025).
• Weekly seminar of EDDy RTG, RWTH Aachen University, Quantifying geometric uncertainties in PDE-based models (January 2025).
• SciCOMP seminar, Durham University, Forward and inverse shape uncertainty quantification with partial differential equations (November 2024).
• Workshop The Numerical Brain, VU Amsterdam, Forward and inverse shape uncertainty quantification with physics-based models (October 2024).