Statistical Engineer specializing in open-source R tooling for clinical reporting. CRAN-listed author on packages used across pharma for tables, listings, and interactive review. 10+ years in R, Python, and C++.
Italian · English · German
Education
Ph.D. in Computational Neuroscience University of Zurich, 2016 – 2021
M.Phys. in Complex Systems for Biology Università degli Studi di Torino, 2013 – 2015
B.Sc. in Physics Università degli Studi di Torino, 2010 – 2013
Experience
Senior Consultant, Data & AI
- Develop and deliver open-source R tooling for clinical reporting workflows, contributing to CRAN-published packages: rtables, tern, formatters, rlistings, crane
- Core contributor to gtsummary and cards — ARD-based reporting for the pharmaverse
- Prototype privacy-preserving LLM-assisted workflows for clinical reporting tasks
- People manager (since Jan 2025): lead and mentor a team of consultants
- Open-source collaboration across Roche, GSK, Novartis, Pfizer, Eli Lilly, J&J, and others
Ph.D. Researcher in Computational Neuroscience
- Developed an unsupervised analysis method for identifying states in functional networks of spiking neurons from in-vivo calcium recordings (publication)
- Authored and maintained CampaRi (R + Fortran), used in-lab for neural data analysis
- Awarded Forschungskredit Candoc, a competitive one-year research grant
Master Thesis Intern
- Contributed to TCGAbiolinks, an R/Bioconductor package for integrative analysis of TCGA cancer genomics data
- Evaluated network inference methods for RNA-seq data
Publications
Unsupervised identification of states from voltage recordings of neural networks Garolini D., Vitalis A., Caflisch A. Journal of Neuroscience Methods, 2019. PubMed
TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data Colaprico A. et al. Nucleic Acids Research, 2016. doi:10.1093/nar/gkv1507