Johan Steen is a postdoctoral researcher based in Ghent with 11 years of experience applying statistics and causal inference to medical and clinical research contexts. Trained with a PhD in Statistics and dual masters in statistical data analysis and experimental psychology, he bridges rigorous methodology with practical problems in nephrology, intensive care and internal medicine. His work spans causal mediation analysis and applied inference, moving from foundational social cognition research to translational clinical studies at Ghent University and UZ Gent. Known for combining deep statistical theory with hands-on collaboration in hospital departments, he often translates complex causal questions into actionable study designs and analyses. An academic who frequently shifts between departmental cultures, he brings both technical depth and the interpersonal skills needed to embed methods into clinical teams.
11 years of coding experience
14 years of employment as a software developer
Master Statistical Data Analysis, Master Statistical Data Analysis at Ghent University
Contributions:4 commits, 7 pushes, 1 branch in 4 days
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Johan Steen - Postdoctoral Researcher at Ghent University