Matteo Cacioppo

Rome (RM)- LinkedIn: matteocacioppo GitHub: matteocacioppo Matteo Cacioppo Education Master of Science in Physics La Sapienza University October 2022 - January 2025 Thesis: LSTM Neural Network for Real-Time Motion Artefact Correction in MRS Scans Grade: 110/110 cum laude Advisor: Prof. S. Giagu Bachelor of Science in Physics La Sapienza University October 2015 - November 2022 Thesis: Spettroscopia Raman nel dominio delle frequenze ed in trasformata di Fourier Advisor: Prof. T. Scopigno Project Research on machine learning for Artefact Correction in MRS Master of Science’s Thesis • • • • 2024 Implemented an LSTM-based neural network to predict patient movement based on navigator data. Utilized affine transformation parameters to correct spatial misalignment in MRS signals. Designed a deep learning pipeline for real-time motion prediction to improve scan quality. Evaluated the model on patient data to assess its effectiveness in noise reduction and artefact correction. • Contributed to the RECENTRE project, aiming to enhance the robustness of high-resolution MRS imaging. Skills Programming Python, C, C++, LATEX, R Communication Italian (native), English (high level) Other Github, Git, Docker