Summary
Riinu Pius is a PhD data scientist and Senior Data Manager with nine years’ experience building scalable clinical databases, dashboards and reproducible analysis pipelines using SQL, R and Shiny. She led database architecture and quality for a Guinness World Record collaborative study, migrated a critical COVID-19 dataset for scalability, and is a co-author on a Lancet paper. Author of R for Health Data Science and creator of HealthyR notebooks, she has trained over 300 healthcare professionals and secured £50k+ to support open research in low- and middle-income countries. At Edinburgh she combined information governance for sensitive clinical data with hands-on system administration, onboarding and GitHub workflow design to accelerate team productivity. Now splitting time between BBC, an honorary fellowship and her consultancy Pius R&D, she blends computational physics roots with medical informatics to solve complex data problems. Off-stage, she admits to losing many GitHub contributions due to email mix-ups, a hint at her practical, experimental approach to tooling.
9 years of coding experience
9 years of employment as a software developer
PhD, PhD at The University of Edinburgh
BSc, Physics, 1st class equivalent, BSc, Physics, 1st class equivalent at University of Tartu
English, Estonian, Russian