I’m a senior bioinformatician at the San Raffaele Telethon Institute for Gene Therapy (TIGET) in Milan, Italy, with expertise in computer science, computational biology, gene therapy, and cell therapy. As a member of TIGET’s Bioinformatics Core, I support high-impact research across multiple units and projects. I excel at developing and optimizing pipelines for large-scale genomic, transcriptomic, proteomic, and metabolomic analyses, with a focus on identifying genetic biomarkers and refining therapeutic targets. I have extensive experience across a range of technologies, from bulk to single-cell approaches, including spatial techniques and targeted sequencing. I’m highly skilled in Bash, Python, and R, and in leveraging bioinformatics tools and cloud platforms for high-throughput data analysis.

My research focuses on the development and analysis of efficient algorithms, particularly in the field of bioinformatics. My core interests lie in designing and implementing combinatorial algorithms to address complex biological problems. I am deeply engaged in both the theoretical and practical aspects of algorithms, especially for biological sequence analysis. I also maintain a strong interest in computational complexity theory, and I am actively exploring the integration of machine learning and artificial intelligence into my work, aiming to develop hybrid algorithms and AI-driven tools. I’m a proven leader and collaborator, with strong ability to communicate complex scientific insights clearly and effectively.

A detailed overview of my scientific activities is provided in his Curriculum Vitae (English).