Virginia Marcelli received her Master's degree cum laude in Management Engineering (curriculum: Business Intelligence and Analytics) in October 2025 from Sapienza University of Rome. She defended a thesis titled "Tailored Heuristics for Margin Optimal Regression Trees: Greedy and Random Forest Driven Approach" under the supervision of Prof. Laura Palagi. Since November 2025, she has been enrolled in the PhD Program in Automatic Control, Bioengineering and Operations Research (ABRO), Operations Research curriculum (MAT-09), at the Department of Computer, Control, and Management Engineering Antonio Ruberti (DIAG), Sapienza University of Rome. Her main research interests include Mixed-Integer Programming, Optimal Decision Trees and Interpretable Machine Learning.