معرفی
Prof. dr. Daniel Oberski is a Professor at Utrecht University's Department of Methodology and Statistics, with a joint appointment in Biostatistics at University Medical Center Utrecht (UMCU). He serves as Scientific Director of ODISSEI, the Netherlands' national research infrastructure for social sciences, and chairs Social and Health Data Science. His work bridges statistics, computer science, and social/behavioral sciences, focusing on latent variable models and error correction in data science.
- Research Interests: Latent variable modeling, measurement equivalence, Bayesian statistics, and machine learning applications in social, behavioral, and biomedical sciences.
- Leadership: Leads the Human Data Science group and ODISSEI's social data science team.
- Supervision: Advises PhD candidates in projects involving high-dimensional text data, healthcare, and social network analysis.
حوزههای پژوهشی
Latent Variable ModellingMeasurement EquivalenceBayesian StatisticsBig DataCategorical Data AnalysisData MiningData ScienceLatent Class AnalysisLongitudinal Data AnalysisMachine LearningMeasurement Error ModellingMixture ModellingMultivariate StatisticsNatural Language ProcessingStatistical LearningStructural Equation ModellingSurvey Methodology
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