I work on crop pest and disease forecasting, with a focus on understanding and predicting the spatiotemporal dynamics of epidemics under changing environmental conditions. My research integrates ecological mechanistic modelling with data-driven approaches to develop interpretable forecasting frameworks that can be applied to real-world agricultural systems.
I am particularly interested in bridging mechanistic understanding and modern computational methods to improve the robustness, interpretability, and transferability of forecasting models across different environmental settings and spatial scales.
More broadly, I am interested in ecological modelling and the integration of mechanism-based and data-driven approaches for building reliable prediction systems to support agricultural management and decision-making.
