Current Projects

My research develops, evaluates, and implements statistical methods for psychology and the behavioral sciences. A large part of it asks when and why modeling approaches succeed or fail: I derive the conditions under which methods work, test them in simulation studies, and translate the results into practical recommendations and open-source software.

My current projects span several areas:

Note📊 Longitudinal, Multilevel, and Latent Variable Modeling

• Discrete- and continuous-time modeling of dynamic processes (CT-SEM, DSEM)
  
• (Nonlinear) structural equation modeling (SEM)
  
• Generalized linear mixed-effects models and hierarchical data analysis
  
• Nonparametric estimation with and without measurement error
  
• Multivariate modeling of long memory in time series
  

Note🔍 Power Analysis, Study Planning, and Model Evaluation

• Simulation-based power analysis and sample size planning for complex designs (e.g., longitudinal and multilevel studies)
  
• Model fit and model selection
  
• Model and distributional assumptions and the impact of misspecification
  

Note🧩 Causality, Heterogeneity, and Psychometrics

• Causal inference in longitudinal data (e.g., RI-CLPM, dynamic panel models)
  
• Modeling and controlling for confounding
  
• Parameter heterogeneity and measurement invariance (IPC regression, MNLFA)
  
• (Psychometric) network analysis
  
• Selection effects
  
• Meta-analysis (meta-SEM, heterogeneity in effect sizes)
  

Note🤖 Artificial Intelligence, Machine Learning, and Software Development

• Adaptive algorithms and automation using machine learning
  
• Nonlinear effects and machine learning for causal inference
  
• Agentic AI for automating research tasks (e.g., designing, running, and documenting simulation studies)
  
• Transparent and auditable AI research workflows (e.g., source-anchored literature work, AI-assisted coding with a human in the loop)
  
• Generative AI in research, teaching, and statistical consulting
  
• R package development and open-source software
  

Note🌐 Applications and Broader Interests

• Stress at work and emotional labor strategies (deep acting, surface acting) in the framework of job demands and resources
  
• Mental health and well-being, including the prediction of treatment outcomes
  
• Applications of statistical modeling and methods in:
  • Psychology
    
  • Medicine and neuroimaging
    
  • Biology
    
  • Epidemiology
    
  • Educational research
    
  • Econometrics
    

✉️ If you are interested in collaborations or consultations, please feel free to reach out!

---