My research focuses on hydrological extremes, particularly floods and droughts, and the development of advanced statistical and data-driven methods to better understand, model, and predict these events under changing climate conditions. I specialize in applying univariate (GAMLSS) and multivariate (Copulas) modelling of hydrological extremes to support sustainable water resources management and resilient infrastructure design. My work also integrates remote sensing data into hydrological modeling and emphasizes risk-informed, performance-based approaches to environmental and infrastructure decision-making. Overall, my academic interests lie at the intersection of hydrology, climate variability, extreme value analysis, and risk-informed water resources management.