Reda El Ghawi

Reda El Ghawi is a Doctoral Researcher at the Max Planck Institute for Biogeochemistry in the Department Biogeochemical Integration (BGI), specializing in hybrid modeling that combines physics-based approaches with machine learning. He contributes to the Model-Data Integration and Atmosphere-Biosphere Coupling, Climate and Causality research groups under the International Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC).

Research Focus: El Ghawi’s work centers on integrating machine learning techniques with process-based land-surface models (e.g., JSBACH) to model biological processes like transpiration and photosynthesis. His studies span groundwater dynamics, stable isotope analysis, and climate modeling, emphasizing hybrid methodologies to reconcile physical laws with data-driven insights.

Key Contributions: Recent publications highlight applications in semiarid Mediterranean hydrology, karst spring analysis, and Managed Aquifer Recharge. His technical expertise includes numerical modeling, data assimilation, and earth system simulations.