I am a statistician who conducts research in statistical methods for health services research and clinical epidemiological research. I conduct research in the following four areas: (1) statistical and machine learning methods for predicting patient outcomes; (2) survival analysis; (3) methods for clustered data; (4) methods for dynamic predictions. I also have extensive experience in the analysis of large administrative healthcare databases. I am also interested in causal inference methods.
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.
2024 - present: assistant professor in medical statistics at University of Milan-Bicocca;
2023: experiences as statistician in industries working in clinical trials and AI for imaging analyses (Chiesi & Menarini);
2021-2022: biostatistician at EURAC Research (Italy);
2016-2021: PhD candidate at the Netherlands Cancer Institute and Leiden University Medical Center (Amsterdam, the Netherlands);
2014-2016: Biostatistician at the Italian National Cancer Institute (Milan, Italy);
2013-2014: Statistician at Zooprophylactic Institute of Lombardy and Emilia-Romagna (Brescia, Italy);
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.