Elia Antonini

Elia Antonini MSc

PhD Candidate in Health Economic Evaluation

Elia Antonini is a mathematician and data scientist with a strong background in mathematics and Bayesian modelling. His research focuses on the intersection of quantitative methods and healthcare decision-making, combining mathematical modelling, real-world data, and simulation-based approaches. Before joining ECPM, he worked at Johnson & Johnson in the Digital & Data Science group, developing models for supply chain risk and pharmaceutical portfolio optimization.

Research Areas

  • Health economic evaluation of interventions in oncology
  • Bayesian and hierarchical modelling for cost-effectiveness
  • Decision-analytic modelling and real-world data integration
  • Simulation-based methods 

Education

Since 2025: PhD in Health Economic Evaluation, University of Basel, Switzerland

2024: MSc in Applied Mathematics, University of Pisa, Italy

2022: BSc in Mathematics, University of Pisa, Italy