Academic year 2024/2025: Numerical Modeling of Ganymede’s Layered Interior from Gravitational and Structural Constraints
Supervisor: Prof. Luciano Iess

Conducted a numerical investigation of Ganymede’s internal density structure using gravitational data and layered interior models. Implemented an MCMC approach in Python to constrain key internal parameters, providing insights into the moon’s structure and composition. The project also strengthened core competencies in planetary science, numerical modeling, and data analysis.