Ignazio Spaccavento
Driven by exploring unfamiliar tech domains
M.Sc. Computer Science student at Politecnico di Milano. Software developer and researcher with a focus on bioinformatics, algorithms, cybersecurity, and quantitative tools.
About Me
I am a Master of Science student in Computer Science at Politecnico di Milano, specializing in Cybersecurity. My technical foundation is rooted in competitive programming, highlighted by a Bronze Medal in the individual Informatics Olympiad, which instilled in me a deep mastery of data structures and complex algorithms.
Beyond academic excellence, I focus on bridging the gap between theoretical research and scalable applications, ranging from full-stack Java solutions to high-performance systems. I co-developed Sharpee, a collaborative project for quantitative analysis, and I am currently co-authoring a research paper on a novel seeding algorithm for genomic sequence alignment within the Gin-Tonic framework.
To further master the security landscape, I am actively conducting Cybersecurity research focused on Federated Learning, specifically investigating model replacement vulnerabilities and defense mechanisms in decentralized environments.
Experience
Co-Founder / Software Developer
Sharpee
VisitDeveloped tools for backtesting financial portfolios. Engineered features including beta calculation, Markowitz optimization, Monte Carlo simulation, and a comprehensive bond screener. Handled large-scale data cleaning and processing.
Undergraduate Student Researcher
NECSTLab (Leonardo program)
Developed a genetic sequence seeding algorithm based on the FM-Index (Gin-Tonic framework). Benchmarking and fine-tuning of parameters for Seed & Extend algorithms (e.g. GraphAligner, Ged-Map) to optimize alignment performance. Research in Cybersecurity on Model Replacement attacks in Federated Learning architectures.
FM-Index · sequence alignment
Security on AI
Software Developer
Starting Finance Student Association
Engineered robust portfolio analysis software for stocks and ETFs, contributing significantly to the quantitative finance branch's capabilities.
Education
Politecnico di Milano
M.Sc. in Computer Science
09/2025 – PresentB.S. in Computer Engineering
09/2022 – 07/2025Selected Coursework
Extracurricular & Achievements
CyberChallenge
Participated in the leading Italian cybersecurity training program for talented young individuals.
Informatics Olympiad in Teams
Qualified and competed in 2 National Finals, demonstrating strong algorithmic and collaborative problem-solving skills.
Individual Informatics Olympiad
Won a Bronze Medal at the national level, competing against top programming talent across Italy.
Olicyber
Reached the National Final in the Italian Cybersecurity Olympiad.
Personal Interests
Outside of work, I am deeply passionate about personal finance and investing — constantly studying markets, portfolio construction, and long-term wealth strategies. I also stay actively engaged in cybersecurity and genomics, fields that sit at the intersection of my academic and professional experience. More recently, I have been exploring psychology — fascinated by how the mind works and how it shapes decision-making, behaviour, and human interaction.
Selected Projects
Distributed Systems Project
Distributed Chat System
Designed and implemented a resilient distributed chat system based on the Raft consensus algorithm. Engineered a broker cluster over LAN, ensuring total ordering and causal consistency across multiple concurrent nodes.
Get In Touch
I'm always open to new opportunities and interesting projects. Whether you have a question or just want to say hi, feel free to reach me out!