Rate My Professor Jelle Goeman

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.