Development of a machine learning model to predict cladding temperature and oxidation following a Loss Of Coolant Accident. Use of CATHARE thermal-hydraulic code to build a comprehensive database.

Collaboration with GE HealthCare, Denoising of CT images with Deep Learning. Design of quality metrics and assessment of different architectures performance. Working with Python and Pytorch.

Monte Carlo-based dosimetric calculations of MV beams collimated with stereotactic cones - Final Engineering Project. Highlights: • Linear accelerator fully modelled including radiosurgery cones.• Use of Python, EGSnrc, BEAMnrc, DOSXYZnrc.• Development of an independent dose calculation system based on the Monte Carlo model:- Contemplates generation of anthropomorphic phantoms.- Contemplates synchronized movement of linac around the patient.- Data extracted from DICOM files.