About
Bio
I am a Senior Researcher at the Engineering Risk Analysis (ERA) Group, School of Engineering and Design, Technical University of Munich. Previously, I held postdoctoral positions at TU Delft (2023–2025), the Technical University of Denmark (2023), and the University of Liège (2021–2023), where I also completed my PhD.
My research develops probabilistic and data-driven methods for risk-informed decision-making in engineering systems operating under uncertainty. I work at the intersection of structural reliability, Bayesian modeling, and artificial intelligence, with an emphasis on sequential decision-making, active learning, and life-cycle management of infrastructure systems.
A central theme of my work is the use of Markov decision processes, multi-agent and hierarchical reinforcement learning, and Bayesian neural networks to design adaptive inspection, monitoring, and maintenance strategies. I combine these with uncertainty quantification and reliability analysis to enable decisions under partial observability, model uncertainty, and long time horizons.
My research spans applications in offshore wind energy, critical civil infrastructure, and urban building stock, where scalability, interpretability, and robustness to real-world data are essential.
