Experience

PhD Researcher

Scuola Superiore Sant'Anna

Conducting research at the intersection of AI, agent-based modeling, and economics.

  • Developing adaptive multi-agent systems for economic simulation.
  • Applying statistical model checking to agent-based models.
  • Studying robust quantitative methods for financial and socio-economic data.

Academic Tutor

University of Rome Tor Vergata

Provided academic support across the Data Processing Center, university library, and Supply Chain Management course activities.

  • Supported students with statistics, study planning, and course selection.
  • Assisted teaching and supervised student project work.

Education

PhD in Artificial Intelligence

Scuola Superiore Sant'Anna & University of Pisa

Research focus: “Learning How to Learn: Adaptive Cognitive Architectures for Economic Network Formation”. Methods include agent-based modeling, multi-agent learning, statistical model checking, network dynamics, and robust statistics.

Second-Level Master in Customer Experience, Statistics, ML and AI

University of Rome Tor Vergata

Final Grade: 110/110 cum laude. Thesis: “Network Topology Analysis and Machine Learning Techniques for Systemic Risk Prediction in U.S. Equity Markets”. Advanced program in statistics, machine learning, and artificial intelligence with SAS Academic Specialization in Advanced Data Analytics and Machine Learning Engineering.

MSc in Financial Markets and Financial Intermediaries

University of Rome Tor Vergata

Final Grade: 108/110. Thesis: “High-dimensional Robust Portfolio Optimization Under Contamination: A Factor-Analytic Approach”. Supervisor: Prof. Alessio Farcomeni. Focus: robust statistics, quantitative finance, and factor-analytic methods.

BSc in Governance & International Relations

University of Rome Tor Vergata

Final Grade: 110/110 cum laude. Thesis: “Consumer Choice Under Uncertainty: From Homo Oeconomicus to Homo Temperatus”. Supervisor: Prof. Gustavo Piga. Erasmus+ Exchange: University of Paris Est-Creteil (Aug 2021 - Feb 2022).

BA in Philosophy

University of Rome La Sapienza

Coursework in logic, epistemology, and analytical philosophy.
Skills
Programming
Python
R
MATLAB
SQL
SAS
Bash
LaTeX
Git
AI Systems & Machine Learning
Machine Learning
Deep Learning
LLM Applications
Agentic Systems
Graph Neural Networks
Statistics & Economic Modeling
Robust Statistics
Financial Econometrics
Agent-Based Modeling
Statistical Model Checking
Network Science
Contagion Simulation
Awards
Alpine Climate Data Challenge Finalist
Alpine Climate Data Challenge ∙ March 2025
2nd Place AI Data Hackathon
December 2024
Academic Tutorship Awards (x2)
University of Rome Tor Vergata ∙ January 2024
Awarded twice for excellence in student support and teaching assistance.
Languages
100%
Italian Native
100%
English Fluent (C1/C2)
60%
French Intermediate (B1)
40%
German Basic (A1)
40%
Spanish Basic (A2)