Actuary & Statistician | Health Metrics, Risk Modelling & Reproducible Research | Author & Instructor
I work at the intersection of actuarial science, population health, and reproducible research. I develop analytical workflows and teaching materials that help people understand complex data, assess uncertainty, and use statistical models in practice.
My work combines statistics, R, machine learning, spatial modelling, and AI-assisted workflows, with an emphasis on clear assumptions, documented methods, and results that others can inspect and reproduce.
- Health Metrics and the Spread of Infectious Diseases — my book on health metrics, machine learning, and spatial modelling with R, published by CRC Press in 2025. Source code and materials.
- hmsidwR — datasets and supporting functions for working through the book.
- typeR — animated script typing for teaching and demonstrations.
- R for Actuaries — practical teaching materials for actuarial applications.
- Data visualisation portfolio — visual examples with accompanying R code.
I collaborate with the Institute for Health Metrics and Evaluation (IHME) on the Global Burden of Disease (GBD) Study. I am a Certified Carpentries Instructor and lead organiser of R-Ladies Rome, where I organise workshops, tutorials, and data science talks.
Through DataMetricus, I bring together quantitative analysis, reproducible workflows, and training.
I also write Notes on Data and Learning, reflecting on statistics, modelling, AI, and learning through practice.
- Website
- ORCID
- X / Twitter
- Mastodon
- Email: docksbox@pm.me / fede.gazzelloni@gmail.com
- Community: find me in the Data Science Learning Community
Pronouns: she/her.



