- Developing AI and ML algorithms for supporting the detection of spatial and temporal patterns and evolutions of climatological fields (e.g., temperature) associated with extreme events (e.g., heatwaves, tropical cyclones).
- Validating the detected teleconnections with data-driven causal inference methods.
Advancing existing water management solutions by using the newly developed information about extreme event occurrence.
Post-doc: Strengthening scientific knowledge on climate and environmental science by using Artificial Intelligence and Machine Learning tools (Environmental Intelligence for Global Change Lab)
Politecnico di Milano
Milan, , IT