- Hydrological forecasts
- Hydro-meteorological data analysis and modelling
- Software development in Python
- High-performance computing and the development of reproducible complex workflows
- Enabling data-driven decision-making for disaster and natural resources management.
- Environmental Engineer with M.Sc in Water Resources Modelling at the Federal University of Rio de Janeiro (UFRJ)
- 5 years experience working as a Researcher at the Electrical Energy Research Centre in Brazill. The main activities were on the development and evaluation of stochastic and physically-based hydrological models used in the operation of the Brazilian Interconnected system, with a focus on the use of weather data to improve river discharge forecasts at various spatiotemporal scales.
- 2026
- Maria Luisa Taccari, Kenza Tazi, Oisín M. Morrison, Andreas Grafberger, Juan Colonese, Corentin Carton de Wiart, Christel Prudhomme, Cinzia Mazzetti, Matthew Chantry, Florian Pappenberger (October 2026) AIFL: A global daily streamflow forecasting model using deterministic an LSTM pre-trained on ERA5-Land and fine-tuned on IFS, Journal of Hydrology. DOI: 10.1016/j.jhydrol.2026.136064
