Summary
Ioan Bucur is a data steward and academic researcher with 11 years’ experience applying statistics and machine learning to biomedical problems and policy-relevant questions. With a PhD in Data Science from Radboud University and an MSc in Statistics from ETH Zürich, he specializes in causal inference, causal discovery, and latent variable modeling for health applications. He combines hands-on methodological research and teaching with practical data governance work, now overseeing institutional compliance as Data Steward while serving as Assistant Professor. His background includes performance-focused C++ development at CERN and building reproducible analysis pipelines, reflecting a rare mix of deep theory and production-grade engineering. Colleagues rely on him to translate complex probabilistic methods into actionable insights for policymakers and clinicians.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science (Data Science), Doctor of Philosophy - PhD Computer Science (Data Science) at Radboud University
Master's (MSc) Statistics, Master's (MSc) Statistics at ETH Zürich
Bachelor's (BEng) Computers and Information Technology, Bachelor's (BEng) Computers and Information Technology at Universitatea Politehnica din Timişoara
English, French, German, Spanish, Romanian, Dutch