PhD in School of Statistical Sciences (40th cycle)
2024 – Present
Sapienza University, Rome, Italy
Istituto Superiore di Sanità - Centro per la Salute Globale
CV
Conferences and seminars have their own page.
Education and training
MSc in Statistical Methods and Application - Data Analyst
2022–2024
Sapienza University, Rome, Italy
Double degree programme; 110/110 with honours
Thesis: Assessing the European “convergence machine”: The empirics of regional economic growth (Supervisor: Prof. Roberto Zelli, Co-supervisor: Prof. Maria Grazia Pittau)
BSc in Statistics, Economics and Society
2019–2022
Sapienza University, Rome, Italy
Student Honors programme; 110/110 with honours
Thesis: La lenta marcia della convergenza al benessere: un’analisi statistica delle nuove traiettorie di sviluppo umano (Supervisor: Prof. Maria Grazia Pittau, Co-supervisor: Prof. Roberto Zelli)
International experience
M2 Mathématiques, Apprentissage, Sciences et Humanités (MASH)
2023 – 2024
Université Paris Dauphine - PSL, Paris, France
Double degree programme; Mention bien
Research project: Exploring the Sino-Tibetan Family of languages through ContacTrees: a Novel Methodological Approach (Supervisor: Prof. Robin Ryder)
BSc Population and Geography
2021
University of Southampton, Southampton, United Kingdom
Erasmus+ programme
Academic activity
Teaching Assistant
2022–2026
Sapienza University, Rome, Italy
Economic Statistics; Statistical Methods for Survey Data
Program Committee
2026
Alleanze territoriali e multidisciplinari per la lotta alle epatiti virali e alle malattie epatiche non trasmissibili: esperienze a confronto
Istituto Superiore di Sanità
Organising Committee Support
2024
Workshop VAW 2024 Violence against women: misreported information and other challenges in modelling social data
Sapienza University, Rome, Italy, October 2024
Research experience
Research internship (Campus Bio-Medico University of Rome)
2023 – 2024
Reference data analyst for medical research in the orthopaedics lab supervised by Prof. Umile Giuseppe Longo, contributing to the statistical analysis for evaluating postoperative patient well-being. The assessment of surgery recovery based on survey data prompted the use of non-parametric methods for estimation and hypothesis testing.
Honors and awards
Laureato Eccellente
2026
Sapienza Università di Roma
Student Honors Programme
2020 – 2022
Sapienza Università di Roma