Summary
Matthias Templ is a Professor and Head of the Competence Centre for Data Quality and Anonymization with 14+ years applying statistics, data science, and AI to practical problems in official statistics and survey methodology. He holds a PhD and habilitation in statistics from TU Wien and has authored over 80 peer-reviewed articles while developing widely used R packages such as sdcMicro, VIM, and robCompositions. Matthias combines deep theoretical expertise in statistical disclosure control, compositional data analysis, and imputation with hands-on tools and training—he has taught PhD courses at ETH Zürich and run ESS courses for European statistical offices. He co-founded data-analysis OG, consults for international organizations like UNIDO, and maintains the Swiss Data Anonymization Competence Center, bridging research, policy, and operational data privacy. His current work leads two large SNSF projects exploring anonymization and network analysis in AI-driven environments, reflecting a rare mix of methodological rigor and practical impact. Based in Olten, Switzerland, he champions open science and privacy-preserving analytics, making complex datasets both useful and safe.
14 years of coding experience
Priv.-Doc. Dr.techn. Dipl.-Ing., Venia Docendi in Statistics, PhD in Statistics, Master in Mathematics, Priv.-Doc. Dr.techn. Dipl.-Ing., Venia Docendi in Statistics, PhD in Statistics, Master in Mathematics at Vienna University of Technology
German, English, German, upper austrian german ;-)