Curriculum Vitae

Product owner of PDH .Stat, an SDMX data platform that supports evidence-based work across the Pacific island nations. I lead several AI-for-data-access projects (see Open source). I also drive the adoption of a Data Governance practice in the division and run training initiatives across the region.

A boutique data-science consultancy. Six people at peak across data engineering, data science, and dev-ops; today it scales with the work, mostly me with collaborators brought on per engagement. We take on data-science-for-good projects alongside consulting work for organisations that want more from their data than a cookie-cutter answer can give them.

Led a team of around ten people building llull, an AI-integrated platform for data discovery and understanding, deployed at banks, large corporations, and a handful of government institutions. Set the wider data and AI strategy across forecasting, optimisation, counterfactual analysis and anomaly detection with Bayesian statistics. The engagement concluded in September 2025 when llull was ready for market.

Before moving into mathematics research, I worked in Trento and Rovereto across journalism, cultural organising, science communication, teaching, and consultancy. Writer or contributor at three local newspapers (L'Adige, Il Trentino, QuestoTrentino) and co-founder of the online newspaper ilcorsaro. Director of the Universitando student cultural association for six years; co-founder of TEDxRovereto. Workshop facilitator for Editoriale Scienza / Giunti, and teacher of at-risk high-school students through the European Social Fund. Marketing and grant-writing consultancy at Innovie, The Hub Rovereto, and Delta Servizi, including coordinating a European FP7 proposal. Data work at IRVAPP, the Trentino public-policy institute. A personal-brand freelance practice (gvdr, data narration and marketing) ran in parallel from 2009 through 2023.

A mathematical framework for the relationship between ecological interactions and evolutionary histories. Supervised by Mike Steel, Charles Semple, and Daniel Stouffer.

Awarded 110/110 cum laude.

Recognised for the team's contribution to Aotearoa New Zealand's COVID-19 response.

Co-founded the Digital Democracies Institute from outside Simon Fraser, alongside the SFU-based core. Principal Investigator on the Institute's Data Fluencies project, funded by the Andrew W. Mellon Foundation: contributed to the winning proposal and led work on the project for three years, until moving to SPC.

Co-founded a grass-roots network that grew to 1,200 data scientists. Contributed an Amicus brief on gerrymandering and helped write the Global Data Ethics Pledge.

Contributed to community-maintained teaching materials, including the shell-genomics lesson and the R-for-reproducible-scientific-analysis lesson.

A Julia library for working with SDMX, the international standard for statistical data exchange.

An AI-integrated layer over SDMXer.jl for natural-language access to statistical data.

A Model Context Protocol server exposing SDMX .Stat endpoints to AI agents.

A browser-based explorer for SDMX statistical datasets, built at SPC for the Pacific Data Hub.

A cross-institution experiment with StatsNZ, the OECD, and the ILO exploring how AI can support official-statistics modelling. Most contributions on a personal branch.

Code and simulations supporting Task Ecologies and the Evolution of World-Tracking Representations in Large Language Models (arXiv 2604.05469).

Simulations supporting Intensity Dot Product Graphs (arXiv 2604.07810).

Expert in Julia and R. Advanced Python. Comfortable in Rust, TypeScript, and SQL.

Data modelling, data governance, SDMX. JuliaHub, Git, HPC. AWS, Azure, BigQuery.

Italian (native). English, French, and Spanish (fluent). Japanese (early beginner).