What I love about science is that as you learn, you don't really get answers.
You just get better questions.
Thesis Defense: 16 December 2024
Vote 110/110 with honours
Vote 110/110 with honours
In the framework of my Ph.D., I am focused on advancing non-destructive radiological characterization techniques for pure beta-emitting radionuclides. My research aims to develop automated qualitative and quantitative analysis methods through in-situ beta spectrometry to address challenges in decommissioning projects. My thesis aims to overcome technological barriers in in-situ measurement of beta radiation, particularly in deconvolving spectra, to extract information specific to each radionuclide. This involves evaluating deconvolution techniques and integrating machine learning tools for the automated processing of in-situ beta spectra. Applications have been identified in decommissioning projects for UNGG graphite reactors. The long-term research and development objective is to develop robust methodologies and measurement tools for in-situ detection of beta radiation, including low-level emissions, and real-time analysis using Artificial Intelligence solutions.
During my internship, I contributed to multi-physics studies on light water reactors, focusing on a sensitivity analysis of the Main Steam Line Break accident for PWRs. My responsibilities included implementing a calculation scheme integrating thermal-hydraulics and neutronics. I utilized CATHARE2 for system thermal-hydraulics and coupled it with a 3D neutronics code using the ICoCo API. I conducted sensitivity analysis revealing correlations between Critical Heat Flux Ratio and system parameters. I explored the effects of steam generator fouling and anti-reactivity on thermal crisis margins. Overall, I adeptly performed intricate multi-physics calculations and sensitivity analyses in compliance with safety standards.
Nuclear Instrumentation: Experimental Setup | Radioactive Source Handling | Glovebox measurements | Alpha-Beta-Gamma Spectrometry
Monte Carlo Simulation: Simulation of Radiation Transport | Detector Response Modeling | Optimization of Detector Designs | Uncertainty Analysis (MCNP, GEANT4, PHITS)
Data Analysis: Statistical Analysis | Data Visualization | Dataset Management | Machine Learning | Artificial Neural Networks
Problem Solving, Teamwork, Technical Reports Editing, Continuous Learning
The European Master of Science in Nuclear Engineering (EMSNE) is a Certificate delivered by the ENEN, with the endorsement of all its members, in order to certify the highest quality standards of Nuclear Engineering Education and the European dimension pursued achieved by the EMSNE laureate.
Scholarship named after Antonio Ventura for best master thesis conducted abroad.
Award for the study of mathematics and computer science in high schools. Awarded among the top 10 Italian students at the national high school mathematics competition.
The Society of Italian Nuclear Professionals in France (SPIN) is a French association that aims to network, represent and give voice and visibility to the community of Italian professionals in the French nuclear energy sector.
The "Nucleare e Ragione" is an association of passionate citizens and experts that promotes the proper debate on energy sources and solutions in Italy.
Private mathematics and physics tutor to high school students. Class test preparation, national exams, and mathematics competitions.
Native proficiency (mother tongue)
Proficient in speaking, reading, and writing.
Proficient in speaking, reading, and writing.