CV

Education

• Ph.D in Statistics, Duke University, 2022-Present.
  • Supervisor: David B. Dunson.
  • Topics: High-Dimensional Factor Models and Nonparametric Density Estimation.
  • GPA 4/4.
• M.Sc. in Data Science, Bocconi University, 2021.
  • Grade: 110/110 cum laude. Supervisor: Giacomo Zanella.
  • Visiting Student at the BayesLab. Supervisors: Daniele Durante and Igor Prünster.
• B.Sc. in Economics, Bocconi University, 2021.
  • Grade: 110/110 cum laude.
  • Exchange Semester at the University of Pennsylvania (GPA 4/4).

Scholarships

• 2019-2021: Bocconi Graduate Merit Award, issued to the best academic profiles amongst the applicants for the MSc.

Teaching Experience

• TA and Lab Instructor for Advanced Data Visualization (DUKE STA - 313), Spring ‘23. Honorable Mention for TA of the year
• TA for Theory of Statistical Inference (DUKE STA - 532), Spring ‘24.
• Instructor for Duke Statistical Science Master Students Math Bootcamp, Summer ‘24.
• TA for Theory and Methods of Statistical Learning and Inference (DUKE STA - 432), Spring ‘25.

Professional Experience

• Nov 2021 - Jul 2022: Bocconi, Department of Decision Sciences, Research Assistant. PI: Giacomo Zanella.
• Apr 2021 - Oct 2021: Hoffmann-La Roche - Data Science and AI team, Data Science Intern.
• Feb 2021 - Apr 2021: ECB - European Systemic Risk Board Secretariat, Data Science Intern.

Skills

• Programming Languages: R, Python, C++, LaTex
• Software: Matlab
• Languages: Italian, English

Interests and Activities

• Reading, hiking, running, and playing soccer.