Koen Derks

Dr. Koen Derks is an Assistant Professor at Nyenrode Business University, specializing in the application of Bayesian statistics to auditing. He is affiliated with the Faculty Research Center for Accounting, Auditing & Control, where his work focuses on improving audit methodologies through statistical innovation and open-source software. His research emphasizes Bayesian approaches to audit sampling, prior distribution integration, and the development of tools like JASP to bridge gaps between auditors and statisticians.

• Education: MSc in Psychological Methodology from UvA, PhD from Nyenrode Business University
• Key Roles: Member of Nyenrode's Examination Committee for Accounting, Controlling and Tax

Research interests include Bayesian statistics, auditing techniques, machine learning applications, and generative art. His publications span topics like audit efficiency, statistical evidence quantification, and software tools for auditors. Derks is also involved in open-source projects like aRtsy, contributing to generative art algorithms.