Prof. dr. Ruud Wetzels

Best things in life are free

Prof. dr. Ruud Wetzels works as a Professor of Data Science at Nynrode Business University. Wetzels focuses on developing novel statistical methods for auditing and controlling. However, only developing methods will not change too much, therefore he also translate those methods into easy-to-use and free-of-charge software. Wetzels fill in the mission of Nyenrode by bridging the gap between academia and the business with a focus on data analytics.

Wetzels obtained his doctorate at the University of Amsterdam with a dissertation on Bayesian statistics and reinforcement learning. He has published over 35 academic articles and has been cited over 4,500 times.

Next to his academic work Wetzels works as a Director at PwC. Here he focuses on helping companies to work data-driven. This can mean developing and implementing a data strategy, implementing data management, or developing and implementing software that solves a business problem with data analytics or AI.  

Secondary positions

• Director at PwC
• Board member of the NBA Faculty Business & Management
• Member of the advisory board of Jasp software

Interests

Wetzels enjoys running, cycling, and bouldering.

Most relevant publications

• Wagenmakers, E.-J., Wetzels, R., Borsboom, D., & van der Maas, H. L. J. (2011). Why psychologists must change the way they analyze their data: The case of psi: Comment on Bem (2011). Journal of Personality and Social Psychology, 100(3), 426–432. 
• Wetzels, R. (2012, July 14). A default Bayesian hypothesis test for correlations and partial correlations. Psychonomic Bulletin & Review. 
• Wetzels, R., Vanderkerckhove, J., Tuerlinckx, F., & Wagenmakers, E.-J. (2009, January 13). Bayesian parameter estimation in the Expectancy Valence model of the Iowa gambling task. ScienceDirect. 
• Derks, K., de Swart, J., Wagenmakers, E.-J., Wille, J., & Wetzels, R. (2021). JASP for Audit: Bayesian Tools for the Auditing Practice. Journal of Open Source Software, 6(68), 2733.
• Derks, K., de Swart, J., van Batenburg, P., Wagenmakers, E.-J., & Wetzels, R. (2021). Priors in a Bayesian audit: How integration of existing information into the prior distribution can improve audit transparency and efficiency. International Journal of Auditing, 25(3), 621-636.