About me
I am a Postdoctoral Fellow in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health (JHU), working with Prof. Aki Nishimura and Prof. Michael Rosenblum.
I obtained my Ph.D. in Statistics from the University of Milano-Bicocca in 2026, and I was a Visiting Graduate Researcher at the University of California, Los Angeles (UCLA) under the guidance of Prof. Sudipto Banerjee, with whom I continue to collaborate.
My research interests lie at the intersection of Bayesian Statistics, Spatial and Spatiotemporal Statistics, Bayesian Transfer Learning, Large-scale Statistical Modeling, Scalable Bayesian Computation, and Statistical Learning. My work focuses on developing statistical models and computational methods for high-dimensional, multivariate, and large-scale data, with applications in geospatial, spatiotemporal, and health-related domains.
During my studies I had various work experiences: a curricular internship taken at a branch of the REMAX group (Real Estate) in the province of Varese as Corporate & Data analyst (2018), an internship at Rapelli SA (Food & Beverage) in Ticino (CH) as Data Analyst (2019) and finally an internship at CyberGON (Cyber Security) as Security Architect & Data Scientist (2021).
Through these academic and professional experiences, I have developed a strong interest in the theoretical, methodological, and computational aspects of statistics. Throughout my Ph.D. journey, I have focused on developing statistical methods for complex data problems while building international research collaborations and working with researchers across different areas of statistics.
You can now browse this portal for any details on my research, publications, and projects. For additional information, questions, or collaboration opportunities, I invite you to download my updated CV & contact me on my social channels!
Education
- Ph.D. in Statistics, University of Milano-Bicocca (2021 - 2026)
Thesis: Bayesian Transfer Learning Approaches for Large-scale Spatiotemporal Problems - M.Sc. in Statistics & Data Science, University of Milano-Bicocca (2019 - 2021)
Thesis: Models for spatial network data with measurement error in covariates: a Bayesian approach with INLA for road accidents
grade: 110 cum laude - B.Sc. in Statistics & Economics, University of Bologna (2016 - 2019)
Thesis: Structural models for the analysis of Italian employment rate
grade: 110 cum laude
Awards
- Best Objective Prediction, Stats under the Stars 6 - SIS2023, June 2023
- Travel award, Bayes comp, March 2023
- Travel award, ISBA, June 2024
- Travel award, ISBA, July 2026
Service to Profession
- Position in Academic Societies
Students representative of the MSc in Statistical & Economics Sciences, 2019 - 2021 Department of Economics, Management and Statistics, University of Milano–Bicocca. - Membership
International Society for Bayesian Analysis (ISBA);
The Bayesian Computation Section of the International Society for Bayesian Analysis (Bayes Comp);
The junior section of the International Society for Bayesian Analysis (j–ISBA);
Institute of Mathematical Statistics (IMS);
Società Italiana di Statistica (SIS).
Summer Schools and Workshops
- Schools
Lake Como School of advanced studies, Como, May 2-6, 2022
RSFD - Robust Statistics: Foundations and Recent Developments. - Workshops
- Workshop at Collegio Carlo Alberto, Torino, February 24, 2023,
Club-PMx2 - CLUstering: Bayesian Partition Models for Precise Medicine. - Workshop at Bocconi University, Milano, April 5-7, 2023
Theory for Scalable, Modern Statistical Methods. - Workshop at Università Svizzera Italiana, Lugano, June 25-28, 2024
Satellite Workshop to ISBA World Meeting.
- Workshop at Collegio Carlo Alberto, Torino, February 24, 2023,
Working Experience
- Data Scientist
Research in AI for IT security, May - August 2021
Cybergon - powered by Elmec Informatica Spa, Brunello (VA). - Data Analyst
Analysis on production, sales and quality control, July 2019
Rapelli SA, Stabio (CH) - Corporate Analyst
Business analysis, June - August 2018
REMAX altoverbano, Germignaga (VA).
