Summer School AI & Society Project Work Contest

My project, IUS — Intelligent University System, ranked first. It proposed using LLMs to help students find information about their university.

I helped establish the company's AI team. I develop and maintain tools such as:

For those works, I coordinated with multiple stakeholders and used industry-standard platforms such as AWS, BitBucket, and JIRA. I also supervised a student during their internship.

My research focused on a hybrid decision-maker system, involving a human user interacting with a machine:

I also held lectures and supervised students.

From this experience, I learned how to analyse complex data, independently manage multiple projects at once and design novel approaches following the literature. Halfway through the PhD program, I left to focus on industry.

Freelance Data Analyst

As a freelance, I worked on data analysis projects, including:

I wrote and supervised the graphic novel project I colori di una nuova vita. This experience taught me how to lead a team.

Workshop Organizer

I was among the organizers of the 1st Doctoral Workshop on Law, Society, and Artificial Intelligence.

Peer Reviewer

I reviewed papers for the Pacific-Asia Conference on Knowledge Discovery and Data Mining 2024, the Workshop on Adaptive eXplainable AI 2024, and the International Conference on Discovery Science 2024.

Developer — Personal Project

I developed a tool to colorize old black-and-white GameBoy games, Simple Palette Maker. It was well-received by the community, with more than 1k users.

Improvisational Theatre

I played improvisational theatre with Arsenale Delle Apparizioni. This experience helped me learn how to speak in public and how to respond to unexpected events.

Data Science and Language Technologies (NLP)

Relevant Exams: Data Mining, Social Network Analysis, Text Analytics, Distributed Data Analysis and Mining, Semantic Web, Laboratory of Data Science, Computational Linguistics

Master's Thesis: GenFair. A framework to remove discrimination towards demographic groups in training datasets, by creating synthetic data with a genetic algorithm. It overcame the limitations of key competitors.

F. Mazzoni, R. Pellugrini, R. Guidotti - Bridging the Gap in Hybrid Decision-Making Systems

On arXiv

F. Mazzoni, S. Mazzarino, G. Rossetti - TETRA: TExtual TRust Analyzer for a Gricean Approach to Social Networks

F. Mazzoni, A. Failla, G. Rossetti - FairNet: A Genetic Framework to Reduce Marginalization in Social Networks

F. Mazzoni, R. Guidotti, A. Malizia - A Frank System for Co-Evolutionary Hybrid Decision-Making

F. Mazzoni, M. Manerba, M. Cinquini, R. Guidotti - GenFair: A Genetic Fairness-Enhancing Data Generation Framework

F. Mazzoni, A. Failla, S. Citraro - Quantifying and Reducing Marginalization in Networks: a Genetic Approach

A. Failla, F. Mazzoni, S. Citraro - Attribute-aware Community Events in Feature-rich Dynamic Networks