I am a social scientist and researcher primarily interested in both persuasion as well as quantitative research methods. I received my Ph.D. with honors form the Eindhoven University of Technology, Eindhoven, the Netherlands. Next, I worked as a postdoctoral researcher at the Aalto school of Economics, Aalto, Finland. Afterwards I worked for 2 years as an assistant professor of Statistics and Research Methods at the University of Tilburg. I have previously (during my Ph.D. work) worked as a research scientist at Philips Research, Eindhoven, the Netherlands and as a distinguished visiting scholar at the CHIMe lab of Stanford University, Stanford CA, USA.
Currently I am an assistant professor in Artificial Intelligence (AI) at the Radboud University Nijmegen. Also, I am the track leader of a master track called “Web and Language”. I (amongst other courses) teach a course on AI techniques on the web called “AI at the Webscale”. You can find the website of the research lab that I run right here: www.nth-iteration.com.
At the end of 2012 my first book called “Digitale Verleiding” (since 2015 also available in English here) was published. It is currently in its 5th print, and still going strong. I am expecting the book to be published in English on the US market by February 2015.
My prime research interest are:
- Persuasive technologies. I focus on the real-time adaptation of the use of distinct persuasive principles in interactive technologies
- Research methods. I study both parametric and non-parametric statistical methods, hierarchical models, and time-series
- Online / streaming learning. I work quite a bit on how to fit hierarchical models online.
- Bandit problems. I have worked on policies for multi-armed bandit problems
- Dynamic Adaptation. I have been involved in several attempts to model, in real-time, consumer behavior and adapt e-commerce attempts accordingly.