My research focuses on judgment and decision making in general, with a special interest in consumer financial decision-making, numerical cognition, and probabilistic reasoning. I also care about open-science, replicability, and reproducibility.
On this website, I share a summary of my current projects and publications, tools and software that I have programmed, and occasional thoughts and tutorials on various research-related topics.
PhD in Marketing, 2018
INSEAD, France
MSc in Managerial and Financial Economics, 2012
HEC Paris, France
Bachelor in History of Arts, 2009
Sorbonne University, France
A short case study showing how NOT to deal with your outliers, featuring a recent paper published in psychology.
Do you wonder how respondents are using distBuilder to construct their final distribution? This blog post shows how you can record the history of allocations that participants have constructed in distBuilder.
You have used the distBuilder library to collect data, now what? This post walks you through the basics of cleaning and analyzing distribution builder data.
You want to test how well people can learn a normal distribution. How can you make sure that the discrete number of values that you will show to participants will look ‘normal’? This blog post gives you a simple and foolproof way of generating values for your experiments.