Regular biography
Korbinian Strimmer is a Chair in Statistics at The University of Manchester, Department of Mathematics. His research focuses on statistical methodologies with applications in biostatistics, computational biology, and bioinformatics. He has contributed to various areas including exponential families, probabilistic canonical correlation analysis, and methods for omics data integration. His work aligns with the United Nations Sustainable Development Goals, particularly SDG 3 and SDG 5. Strimmer has been recognized as a Highly Cited Researcher multiple times.
Scholar-generated biography
Korbinian Strimmer is a researcher in statistical learning, data science, and biostatistics. His work focuses on developing statistical methods for analyzing complex biological and genomic data. He has contributed to the development of tools for phylogenetic analysis, such as APE and TREE-PUZZLE, and has explored techniques for estimating covariance matrices and false discovery rates. His research also includes gene association networks, high-dimensional data analysis, and methods for inferring gene tree confidence sets. Strimmer's publications highlight his expertise in statistical inference, computational biology, and the application of statistical learning to biological problems.