Summary
Dennis Klinkhammer is a university-level social scientist and educator with nine years of focused experience teaching and researching empirical methods, statistics, and machine learning. As a professor at FOM and a long-time lecturer for STATISTICAL-THINKING, he translates complex AI and multivariate methods into clear, practical insights for students and practitioners. His academic work spans a doctorate in longitudinal media analysis and a habilitation in social data science, blending rigorous quantitative methods with applied social research. He has supported student-led evaluations and contract research, bringing methodological rigor to real-world projects through UNIQSCI and university collaborations. Known for demystifying "how AI really works," he emphasizes transparency and interpretability rather than black-box solutions. Based in Bonn, he pairs deep theoretical training with hands-on teaching that equips learners to apply advanced statistical and ML tools responsibly.
9 years of coding experience
Diploma, Social Sciences (Statistics, National Economy, Sociology), Diploma, Social Sciences (Statistics, National Economy, Sociology) at University of Cologne
Habilitation in Social Sciences, esp. Social Data Science, Habilitation in Social Sciences, esp. Social Data Science at Justus-Liebig-Universität Giessen
ERASMUS, Statistics (Models of Measurement, Network Analysis), ERASMUS, Statistics (Models of Measurement, Network Analysis) at University of Utrecht
German, English