Assistant Instructor, Scientific Data Analysis Laboratory

Project: National Centre for HPC, Big Data and Quantum Computing – Innovation Grant Agri@Intesa

Data acquisition, dataset preparation, and AI-driven analysis within HPC and Big Data frameworks

Teaching assistant for Statistical Data Analysis and Scientific Data Analysis Laboratory, focusing on programming and computational methods

Lectures delivered as part of the National Doctorate in Technologies for Fundamental Research in Physics and Astrophysics

Instructor at the second course on porting code and algorithms to GPUs, Bologna, supported by ICSC with EU NextGenerationEU funding

Prepared teaching materials and exercises for Erasmus+ Teaching Mobility courses at the University of Athens and the University of Ioannina

Presented research posters on machine learning and high-performance computing at ACAT 2025 in Germany and Workshop Quasimodo 2025

Collaborating with the University of Edinburgh on RISC-V architecture applications for data analysis in high-energy physics

Thesis: Bc physics with LHC Run-3 data at the CMS experiment, supervised by Prof. Dr. Alexis Pompili

Developed new trigger techniques for Run-3 inclusive selection of Bc→J/ψπ decays

Employed XGBoost and Optuna for machine learning–driven signal selection and hyperparameter optimization

Built workflow optimizing machine learning metrics (ROC AUC, KS distance) and physics metrics (Punzi figure of merit, signal significance, purity)

Performed preliminary Bc meson lifetime measurement with 2022–2023 Run-3 data

Conducted computationally intensive model training on ReCaS HPC cluster

Compared software tools for handling large ROOT files: Uproot vs RDataFrame