Jesse Hemerik

Jesse Hemerik is an Assistant Professor at the Department of Econometrics within the Erasmus School of Economics at Erasmus University Rotterdam. His research focuses on statistical methodology, particularly in permutation tests, multiple testing procedures, and robust inference in generalized linear models. He has contributed to advancements in controlling false discovery rates, familywise error rates, and efficient statistical testing in high-dimensional data contexts. Hemerik's work emphasizes methodological rigor and practical applications in biostatistics, neuroimaging, and clinical research. He has developed R packages like flipscores to implement his proposed statistical methods. His collaborations span international researchers in statistics and computational biology, addressing challenges in data analysis and experimental design.

His research interests include permutation-based inference, robust statistical testing, and algorithm development for handling complex datasets. He has published extensively on topics such as closed testing procedures, nonparametric methods, and the integration of statistical theory with applied problems. His contributions have been featured in journals like the Journal of the Royal Statistical Society and International Statistical Review.

Hemerik’s recent work explores improving false discovery proportion estimation through permutation methods and refining methodologies for multiple equivalence testing. He actively engages in methodological debates regarding significance thresholds and the proper use of terminology in statistical testing frameworks. His research bridges theoretical advancements with practical tools, ensuring broader accessibility to cutting-edge statistical techniques.