Sven Hilbert

Prof. Dr. Sven Hilbert is a Professor of Educational Data Science at the University of Regensburg, where he has held the chair since 2023. He serves as Vice Dean of the Faculty of Human Sciences, spokesperson for the Research College, and Scientific Director of the Center for University and Science Didactics. His work bridges psychology, education, and data science.

• Habilitation (2017) and Doctorate (2013) in Psychology, Ludwig Maximilian University, Munich
• Master of Science in Statistics (2016) and Neuro-Cognitive Psychology (2010), Ludwig Maximilian University, Munich
• Diploma in Psychology (2010), Ludwig Maximilian University, Munich
• Psychology License 3 (2008), Université de Nantes

Hilbert’s research focuses on working memory, cognitive strategies, and mathematical learning, employing advanced statistical techniques like structural equation modeling and linear mixed models. He pioneers machine learning applications in educational sciences and emphasizes open science practices to address replication crises.

His recent publications highlight interdisciplinary trends, including machine learning frameworks for education, critiques of psychometric models, and longitudinal study analysis. Despite no explicit awards listed, his leadership roles and editorial contributions underscore his academic influence.

Hilbert teaches advanced statistics, statistical analysis with R, and machine learning, mentoring doctoral students through research colloquia. He leads the Educational Data Science (EDS) team at the University of Regensburg, collaborating with institutions like Karl-Franzens University, Graz, and Humboldt-Innovation GmbH, Berlin.