Phd in NETWORK ONCOLOGY AND PRECISION MEDICINE

Research: Bioinformatic approaches for the analysis of spatial transcriptomic data in solid tumors

Education and Training
PhD in Network Oncology and Precision Medicine 11/2024 - Present Department of Experimental Medicine Sapienza University of Rome, Rome, Italy
Research Fellowship 04/2024 - 10/2024 Department of Experimental Medicine Sapienza University of Rome, Rome, Italy Validation of molecular biomarkers of disease using artificial intelligence-based algorithmic modelling
Research Scholarship 01/2023 - 10/2023 Department of Computer, Control and Management Engineering “Antonio Ruberti” Sapienza University of Rome, Rome, Italy Identification of putative novel molecular biomarkers and/or therapeutic targets using drug repositioning software for pan-cancer analysis
Master’s Degree in Biomedical Engineering 09/2021 - 10/2023 Sapienza University of Rome, Rome, Italy Curriculum: Computational Medicine Final grade: 110/110 cum laude Thesis: Bioinformatic analysis of biological networks for the identification of repositionable active molecules in different types of human cancers

Work Experience
Tutor - Biomedical Engineering (L-9) 01/12/2025 - 31/07/2026 San Raffaele Telematic University of Rome, Rome, Italy Skills Programming: Python, R, MATLAB, Bash Omics Data Analysis: Bulk and single-cell RNA-seq, spatial transcriptomics Computational Analysis: Statistical data analysis; machine learning applications; network-based approaches for drug repurposing Research Project: Bioinformatic approaches for the analysis of spatial transcriptomic data in solid tumors Development and optimization of bioinformatics pipelines for the analysis of spatial transcriptomics data generated using Open-ST, an innovative platform that preserves the spatial information associated with transcripts captured within tissue sections.