Mirko Signorelli

Mirko Signorelli is an Assistant Professor in Statistics at the Mathematical Institute of Leiden University. He specializes in biostatistics and computational statistics, with a focus on dynamic prediction of survival outcomes, high-dimensional inference, and statistical software development.

• Affiliations: Leiden University, Leiden University Medical Center (postdoctoral), University of Groningen (PhD), University of Padova (PhD)

His research interests include:

• Biostatistics and biomedical applications
• Dynamic prediction of time-to-event outcomes
• High-dimensional inference and longitudinal data analysis
• Mixed effects models and statistical network science
• Development of R packages for statistical methods

Scientific awards and recognitions:

• VIDI Grant (2024) for a 5-year research project on dynamic prediction
• e-Science Center Fellowship (2023) for improving the R package pencal
• Young Statistician Award (2020) from the International Biometric Society
• Best PhD Thesis Award (2018) from the Italian Statistical Society
• Best Student Paper Award (2017) from the Statistical Modelling Society

He supervises PhD, Master’s, and Bachelor’s students across Leiden University, University of Bologna, and collaborations with institutions like the Karolinska Institute and Centrale Bureau voor de Statistiek. His teaching activities span Mathematics and Statistics & Data Science programs.