About me

I am a statistician with strong interests in applied and methodological statistical aspects especially about risk prediction, epidemiology and causal inference.

This website contains my (current) general and specific research interests and a collection of my work such as selected publications and my contributions to methodological developments in medical statistics, especially as a programmer.

More details can be found at GitHub and Google Scholar.

General research interests

My general research interests are statistical methods for observational studies. In particular, I am interested in applied and methodological aspects especially about risk prediction modelling and causal inference. These interests are motivated by applications in biomedical sciences.

Specific (research) interests

  • Analysis of Individual Patient Data (Meta) Analysis. A good reference here;
  • Survival analysis;
  • Risk prediction modelling;
  • Causal inference;
  • Machine learning algorithms;
  • R/Python programming;
  • Statistics applied to biomedical research

Brief CV

  • 2021-2022: Biostatistician at EURAC Research (Italy);

  • 2016-2021: PhD candidate at the Netherlands Cancer Institute and Leiden University Medical Center (Amsterdam, the Netherlands);

  • 2016: Statistician at OPIS (Desio, Italy);

  • 2014-2016: Biostatistician at the Italian National Cancer Institute (Milan, Italy);

  • 2013-2014: Statistician at Zooprophylactic Institute of Lombardy and Emilia-Romagna (Brescia, Italy);

Education

  • 2022: PhD from Leiden University. PhD dissertation “Prediction of contralateral breast cancer - Statistical aspects and performance assessment” is available here and also available through Leiden University website here.

  • 2012: Master of Science (MSc) degree in Biostatistics and Experimental Statistics from University of Milan-Bicocca;

  • 2010: Bachelor degree (BSc) in Statistics and Information management from University of Milan-Bicocca.