Summary
Giulio Riva is a statistics and data systems leader with over a decade of experience applying Bayesian forecasting, optimization and anomaly detection to real-world problems across academia, government and consultancy. He currently oversees the SDMX-driven stats.pacificdata.org as Statistics Advisor at the Pacific Community while directing data innovation at Inverence and running Baffelan, his boutique data science consultancy. A former academic and Senior Lecturer, he blends rigorous mathematical foundations (PhD in Mathematics) with practical engineering across Julia, R, Python, Scala and SQL to build bespoke, auditable solutions. He teaches and researches complex networks, evolutionary processes and the human side of data, and runs regional training and governance initiatives to lift data maturity. Outside work he brings a creative curiosity—ecology, mountains, diving and poetry inform his interdisciplinary approach to problems that “explode” when ideas collide.
11 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at University of Canterbury
Maturità Scientifica, Brocca Sperimentale, 100/100, Maturità Scientifica, Brocca Sperimentale, 100/100 at Liceo Scientifico
Master's degree, Teaching and Communication of Mathematical Science, 110/110 cum Laude, Master's degree, Teaching and Communication of Mathematical Science, 110/110 cum Laude at Università degli Studi di Trento
Erasmus Program, Mathematics, Erasmus Program, Mathematics at Université Pierre et Marie Curie (Paris VI)
Italian, English, French, Spanish