PhD Student in Modeling and Data Science

Research topic: 

Deep Learning models for spatio-temporal environmental phenomena and applications on groundwater resources.

Fields of interest: 

• Deep learning

• Spatio-Temporal Data

• Physics-Guided and Scientific Machine Learning

• Earth system modeling with Machine Learning (experience with water resources and air pollution)

• Earth Observation

• eXplainable AI (XAI) for spatio-temporal models