Wynand Alkema has been a professor of Data Science for Life Sciences and Health since January 2020. His research focuses on extracting medical, biological and chemical knowledge from large data sets. This uses automated text analysis, multivariate statistics and classification models among others. Projects in which this technology is applied include predicting prognostic biomarkers for Scleroderma, unravelling the evolution of immune signalling pathways, finding new ingredients for healthy food and optimising factory processes in which milk is processed into fermented end products. Besides research, a minION sequencing facility has been set up within the professorship with the aim of developing microbial diagnostics for medical and biotechnological applications.