Overview
This site is designed as a research hub for ongoing and completed work in clinical research, predictive modeling, evidence synthesis, and applied biostatistics.
Selected public materials and reports may also be made available to complement published or ongoing research outputs.
Selected research areas
Predictive modeling
Clinical prediction models, internal and external validation, and machine-learning workflows for biomedical data.
Stroke and neuroimaging
AI methods for diagnosis support, outcome prediction, and imaging-based clinical research.
Evidence synthesis
Systematic reviews, pairwise meta-analysis, network meta-analysis, and diagnostic test accuracy reviews.
Applied biostatistics
Study design, multivariable modeling, longitudinal data analysis, causal reasoning, and reporting.
Teaching
I teach medical statistics and biostatistics in undergraduate, postgraduate and continuing medical education programs. Selected teaching materials, including interactive simulations, are available below.
Statistics for Sport Sciences
Statistica applicata allo sport, BSc in Scienze Motorie. Descriptive statistics, probability distributions and inference with sport-based examples.
Medical Statistics
Courses for medical degree programs and medical specialization schools.
Interactive materials
Browser-based simulations used in class (in Italian).
Notes
Public materials available on this site are shared selectively and may include methodological notes, technical summaries, reproducible reports, or companion outputs related to published work.