Ruud Wetzels

Prof. Ruud Wetzels is a Professor of Data Science at Nyenrode Business University, affiliated with the Faculty Research Center for Accounting, Auditing & Control. He bridges academia and business by developing statistical methods for auditing and controlling, translating these into free software tools. His work focuses on Bayesian statistics, data analytics, and practical applications in auditing. He holds a PhD from the University of Amsterdam in Bayesian statistics and reinforcement learning. Beyond academia, he serves as a Director at PwC, specializing in data-driven strategies for businesses. His research emphasizes audit transparency, efficient sampling techniques, and integrating prior information into statistical analyses. Key contributions include Bayesian tools for audit sampling and methodologies to enhance audit efficiency through prior distributions.

Education: PhD in Bayesian Statistics and Reinforcement Learning (University of Amsterdam).

Research Interests:

• Statistical methods for auditing and control
• Bayesian hypothesis testing and inference
• Data analytics in business and auditing
• Development of open-source statistical tools
• Applications of machine learning in auditing

Auditing Tools and Impact: Wetzels co-developed JASP for Audit, an open-source platform providing Bayesian tools for auditors. His work on prior distributions in Bayesian audits has advanced methodologies for integrating existing information into statistical analyses, improving audit efficiency and transparency. He has over 4,500 citations and has authored influential papers on Bayesian methods in auditing and psychology.

Professional Roles: Combines academic research with industry expertise at PwC, focusing on data strategy, software implementation, and AI-driven business solutions. His dual role ensures practical relevance in academic research and theoretical rigor in professional practice.