Master's degree in Biosystems Engineering, with emphasis in Climate Modeling, and B.Sc. in Water Resources and Environmental Engineering, both from the Federal Fluminense University. Specialist in Artificial Intelligence applied to industry, with a degree from the Brazilian National Service for Industrial Learning (SENAI). Has experience with Python and R programming languages and expertise in climate and hydrological modeling and applications involving time series. Main research interests include the impacts of climate change on water resources and the potential applications of climate models.