Caterina Gregorio

I am a post-doctoral researcher with a background in biostatistics. My research focuses on statistical modelling for chronic illnesses, multimorbidity and ageing, both from a methodological and applied point of view using longitudinal real-world data sources. 

• 2020- 2024 PhD in Mathematical Models and Methods in Engineering, Politecnico di Milano,
  Italy. Supervisors: F.Ieva, G.Barbati. Thesis: “Toward a dynamic approach to 
• decision-making in chronic illness: a statistical framework using longitudinal real-world data”.
• 2017-2019 Master's Degree in Statistical Science at the University of Padova, Italy. 
• Thesis: 
• "Recurrent events and competitive risks: survival models for the study of arrhythmogenic cardiomyopathy". (Supervisors: G.Cortese, G.Barbati)
• 2013-2016 Bachelor's degree in Statistics and Informatics for Business, Finance and 
• Insurance, University of Trieste, Italy. Thesis: "Clustering Algorithms in the 
• Context of Spatial Big Data". (Supervisor: G.Schoier)

• Multi-state models and microsimulation.
• Longitudinal models for repeated measures and latent outcomes.
• Functional data analysis.
• Joint models, landmarking.
• Causal inference,  
• structural marginal models.

2024 

•  
• Biostatistics I- Master of Public Health Sciences

2021-2023 Politecnico di Milano, Italy. Laboratory activities.

•  
• Biostatistics -Master’s course in Computational genomics (2 courses, 24 hours and 60 students each, taught in English)
• Statistics- Bachelor’s course in Mathematical Engineering (1 course, 24 hours and 150 students, taught in Italian)

2021-2023 University of Trieste, Italy.

• Statistics- Bacher’s course in economics and business (laboratory activity, 20 hours, 100 students, taught in Italian)
• Medical Statistics- Master´s course in data science (lecture, 4 courses, 3 hours each and 10 
• students, taught in English)