Education

Master of Research, PhD Track

Main courses: Data Science, Behavioral, Political Economy

Master of Sciences, PhD Track

Main courses: Econometrics, Microeconomics, Macroeconomics

Master of Sciences, Economic and Social Sciences — 110/110 cum laude

Main courses: Econometrics, Microeconomics, Behavioral Economics, Macroeconomics, Machine Learning

Member of Bocconi Students for Data Science (Sep 2020 – Jul 2022)
Attended additional PhD course “Topics in Statistical and Machine Learning” by D. Durante (grade A)
Thesis: What Makes the Front Page? Theoretical and Empirical Analysis of News Selection
Supervisor: Professor Nicola Gennaioli

Erasmus Exchange — GPA: 30.33/30

Main courses: Marketing Communications, Strategic Management, Business in Action

Bachelor’s Degree, Economic Sciences — 110/110 cum laude

Main courses: Econometrics, Microeconomics, Statistics
Thesis: Firms, Social (Ir)responsibility and Boycotts: An Economic Analysis
Supervisor: Professor Marco Faillo

Classical Studies — 100/100

Professional Experience

Research Assistant

Research assistant for Professors Marta Reynal-Querol and Luigi Pascali. Scraped data and provided big data management using Python.

Trainee

Co-author in working project “Cyber Attacks Effect on Macroeconomic Variables”. Scraped data from FACTIVA and analyzed it using different macro-econometrics approaches.

Research Assistant

Research assistant for Professor Guido Tabellini. Solved dynamic model on MATLAB and converted video content to text using neural networks to perform text analysis. Used BERT algorithm to categorize Reddit comments for the project “Online Political Debates”.

Research Assistant

Research assistant for Professor Pedro Bordalo. Scraped data from Vanderbilt database and provided text analysis using machine learning techniques.

Research Assistant

Research assistant for Professor Marco Tabellini. Developed econometric analysis and scraped data using STATA and Python.

Research Assistant

Research assistant for Professor Mara Squicciarini. Developed supervised machine learning algorithm to identify discriminatory tweets against members of the Chinese community during the early stages of Covid outbreak.

Visiting Student

Research assistant for Professors Paola Cillo and Mara Squicciarini. Intensive use of R and Python for machine learning and data cleaning.

Organized seminars for IGIER fellows, presented academic articles and discussed their validity
Authored articles on Bocconi Knowledge about IGIER seminars

Coordinator, Business Area

Coordinated and managed 11 associates and presented the association products to potential clients.

Awards & Scholarships

Google Cloud Research Grant (2023–2025)

$2,000 computing credits granted by Google for the project “The New Scramble for Africa: The Case of Illegal Fishing”.

Bonaldo Stringher Scholarship (2022–2024)

2-year Bank of Italy scholarship for promising graduates in Political Economy (€27,000 yearly income and tuition fees granted).

Collegio Bernardo Clesio (2016–2019)

Placed second among 141 participants and selected for a merit-based scholarship (free accommodation and other benefits granted).

Mentors4U (2018–present)

Selected (top 25%) to participate in Mentors4U, a merit-based undergraduate mentoring program.

Languages

Technical Skills