Caterina Gregorio

Caterina Gregorio

Postdoctoral Researcher
Visiting address: Tomtebodavägen 18 A, 17165 Solna
Postal address: H1 Neurobiologi, vårdvetenskap och samhälle, H1 ARC Medicin Vetrano, 171 77 Stockholm

About me

  • I am a Marie-Curie 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)

Research

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

Teaching

  • 2024  Karolinska Institutet, Sweden

    •  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)

Articles

All other publications

Grants

  • European Commission
    1 September 2025 - 31 August 2027
    The goal of LETMEAGE is to develop innovative methodologies for longitudinal aging metrics and the identification of personalised preventive interventions aimed at extending the healthspan and well-being in older age. The proposed framework views the aging individual as a complex system in which the dimensions of aging - from cellular mechanisms to disease and physical and cognitive function - interact dynamically with each other and with external factors (e.g., socioeconomic, environmental). Specifically, mathematical and statistical methods for longitudinal data will be extended and implemented to reflect clinically accurate and biologically detailed geroscience models. The methodology proposed in LETMEAGE will enable the estimation of subject-specific determinants of the aging process - including their impact on the lifespan- and personalised predictions. Additionally, tailored microsimulation methods will be developed to perform data-driven scenario analyses, estimating the long-term expected gain of hypothetical preventive interventions targeting risk factors for accelerated aging. Following methodological validation through simulations and real-data applications from two longitudinal population-based studies, all methods for estimation, model diagnostics, predictions, and scenario analyses will be integrated into an open-source software package. LETMEAGE is a highly interdisciplinary project combining applied mathematics, scientific computing, biostatistics, aging, and geroscience toward a more holistic approach to aging and geroscience research. By providing robust and advanced analytical methods, LETMEAGE will lead to the efficient utilization of high-quality longitudinal data to address the dramatic demographic increase of the older population. Ultimately, LETMEAGE will support the implementation of a personalized preventive framework toward healthy aging.

Employments

  • Postdoctoral Researcher, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 2024-2027
  • Postdoctoral Researcher, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 2024-2025

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