Rate My Professor Jelle Goeman

Prof. dr. J.J. (Jelle) Goeman is Professor of Biostatistics at the Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), within the Faculty of Medicine at Leiden University. He serves as Section Head of Medical Statistics and leads the Data Analytics Research Facility. Goeman studied mathematics and history at Leiden University, earning his PhD on March 8, 2006, with the thesis 'Statistical methods for microarray data.' His career trajectory includes research positions at Leiden University and Imperial College London. In 2013, he was appointed Professor of Biostatistics at Radboud University, before returning to Leiden University in 2016. He delivered his inaugural address titled 'Statistical methods for Microarray data: pathway analysis, prediction methods and visualization tools' on November 17, 2017. Goeman advises medical researchers on statistical methods and develops innovative approaches for high-dimensional data analysis, with hundreds or thousands of measurements per patient, such as in genomics and neuroimaging.

Goeman's research centers on advanced statistical methods for large-scale multiple hypothesis testing, selective inference, and high-dimensional prediction models, applicable to genomics, neuroimaging, clinical trials, infection research, medical genomics, and neuroscience. He is the author of key R packages including globaltest, ora, and penalized, widely used in genomics analysis. His contributions have been recognized with a VENI grant, a VIDI grant, the C.J. Kok prize in 2011 for extraordinary achievements in mathematics and medicine, and the Biometry Award in 2012 for 'Multiple testing for exploratory research.' Notable publications include 'Multiple Testing for Exploratory Research' (2011, with A. Solari), 'False discovery proportion estimation by permutations: confidence for significance analysis of microarrays' (2018, Journal of the Royal Statistical Society: Series B, with J. Hemerik), 'All-Resolutions Inference for brain imaging' (2018, NeuroImage, with J.D. Rosenblatt et al.), and 'Systems analysis and controlled malaria infection in Europeans and Africans elucidate naturally acquired immunity' (2021, Nature Immunology). Goeman teaches biostatistics to medical students at LUMC, contributes to the interfaculty master's program in Statistics and Data Science, and instructs at the summer school of the Dutch Epidemiology and Biostatistics society (NEOB). His work significantly influences medical statistics across LUMC research themes.