Laurent Donzé is a Professor of Applied Statistics and Modelling (ASAM) at the University of Fribourg and Head of the ASAM research group. He specializes in fuzzy statistics, survey methodology, wage discrimination, causal effects estimation, and imputation techniques. His recent work in fuzzy statistics includes methods like fuzzy least squares regression and bootstrapped fuzzy distributions, advancing fuzzy inference and hypothesis testing. He has shared his findings at major conferences and published extensively, earning international recognition. Laurent Donzé earned his PhD in econometrics from the University of Fribourg and contributed to Swiss National Science Foundation projects at Istituto di Ricerche Economiche (IRE) while expanding his mathematical education. From 1996 to 2002, he worked at KOF ETH, Zurich, developing projects such as the Swiss Firm Panel. Since 2002, he has been a Professor at the University of Fribourg, a Research Professor at KOF ETH, Zurich, and, since 2016, a Professor of Econometrics at the University of Neuchâtel. He is a Mentor for the Swiss Study Foundation and President of the Swiss Statistical Society’s “Education and Research” section.