Quentin Andre

Quentin Andre is an Assistant Professor of Marketing at the Leeds School of Business, University of Colorado Boulder. His research bridges judgment and decision-making, consumer financial decision-making, and open science initiatives.

• Education: PhD in Marketing (INSEAD, 2018), MSc in Managerial and Financial Economics (HEC Paris, 2012), BA in History of Arts (Sorbonne University, 2009)

Andre’s work focuses on how consumers interpret numerical information and make data-driven decisions under uncertainty. He advocates for replicability and reproducibility in behavioral research, emphasizing methodological transparency. His recent publications explore group sequential designs, probabilistic reasoning, and statistical power in hypothesis testing.

He has developed open-source tools like pypcurve (Python p-curve analysis), distBuilder (distribution builder for experiments), and WordSearchJS (word search tasks in research). His blog discusses topics such as p-value interpretation, research errors, and open science practices.