Jan Graffelman

Jan Graffelman is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona and the Departament d'Estadística i Investigació Operativa. He leads the COSDA-UPC research group (COmpositional and Spatial Data Analysis) and coordinates the Doctoral Program in Statistics and Operations Research. His expertise spans compositional data analysis, multivariate analysis, applied statistics, and statistical genetics.

Research focuses include genetic equilibrium testing (Hardy-Weinberg law), biplot visualization techniques, and applications in genomics and ecology. Notable contributions include methodologies for analyzing genetic markers, compositional data in precision medicine, and multidimensional scaling. Graffelman has collaborated with institutions like Barcelona Supercomputing Center and co-authored numerous high-impact publications in journals such as Heredity, Journal of Computational and Graphical Statistics, and Ecosphere.

He has supervised multiple PhD students, including Iván Galván Femenía and Jordi Morales. His work integrates statistical theory with practical applications in genetics, ecology, and agriculture. Key projects include compositional methodology for family relationship inference and RNA-seq data analysis.

Graffelman's academic network spans institutions globally, and he actively contributes to research projects funded by the Spanish State Research Agency and European grants. His lab develops tools for statistical analysis, including the HardyWeinberg and ToolsForCoDA R packages.