I am a postdoctoral researcher in the Section of Biostatistics at the Department of Public Health, University of Copenhagen.

My research focuses on developing statistical machine learning methods for time-to-event data to address real-world problems involving large and complex datasets, with applications in insurance claims reserving, human mortality modelling, and clinical risk prediction.

Alongside my research, I enjoy programming and developing open-source tools for practitioners and academics.

You can contact me at name(dot)surname(at)sund(dot)ku(dot)dk.

Education

• 2020–2024 Ph.D. at the School of Statistical Sciences (Doctor Europaeus), curriculum in Actuarial Science, Sapienza University of Rome, Rome, Italy
• 2018–2020 M.Sc. in Statistical and Actuarial Science, Università Cattolica del Sacro Cuore, Milan, Italy
• 2015–2018 B.Sc. in Business Economics, Università degli Studi di Milano-Bicocca, Milan, Italy