CV

Education

Ph.D in Statistics, Duke University, 2022-Present.
- Supervisor: David B. Dunson.
- Topics: probabilistic matrix factorizations, latent variable modeling, scalable Bayesian computation.
- GPA 4/4.
M.Sc. in Data Science, Bocconi University, 2021.
- Grade: 110/110 with Honors. Supervisor: Giacomo Zanella.
- Visiting student at the BayesLab. Supervisors: Daniele Durante and Igor Prünster.
B.Sc. in Economics, Bocconi University, 2021.
- Grade: 110/110 with Honors.
- Exchange semester at the University of Pennsylvania (GPA 4/4).

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

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 & ‘25.
TA for Theory and Methods of Statistical Learning and Inference (DUKE STA - 432), Spring ‘25.
TA for Design of Surveys and Causal Studies (Duke STA - 322/522), Fall ‘25.

Jun 2025 - Aug 2025: Merck Research Labs – BARDS, Biostatistics Research Intern.
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.