Health Data Science

Zuccolo Group

In the Zuccolo group, epidemiologists, statisticians and data scientists analyse highly-dimensional complex data to improve our understanding of maternal and child health, with a particular focus on intergenerational effects. We develop new data pipelines and phenotype captures, while applying cutting edge methods for robust inference to inform knowledge translation. We describe health and health behaviours trends and trajectories emerging in contemporary populations, study their determinants, identify predictors of vulnerability and risk, and investigate how families and particularly parent-offspring interactions, shape individuals’ health and wellbeing. The resulting evidence will help to prioritise and inform the design of family-level or parent-focussed interventions to support maternal, child, and adolescent health.

FUNDING

MSCA Postdoctoral Fellowship – Albert Navarro Gallinad

GRANTS

FORTE grant for Luisa Zuccolo and Albert Navarro Gallinad

ALUMNI

  • Linda Repetto | Postdoctoral researcher | 2023-2025
  • Elisabeth Ruth Aiton | Visiting PhD | University of Bristol | 2025
  • Alice Sofia Calvello | MSc intern | Università degli Studi di Milano-Bicocca | 2025
  • Sandra Mickwitz | MSc intern | Università Cattolica del Sacro Cuore | 2025
  • Lanny Seraphim Thomas | BSc intern | University of Freiburg | 2025
  • Kerstin Nothnagel | Visiting PhD | University of Bristol | 2025
  • Molly Van der Heiden | MD student intern | University of Bristol | 2024
  • Elham Bahari Kheirjoui | MSc intern | Università degli Studi di Milano | 2024

Group members

Publications