I am fascinated by the potential of omics data for biological discovery. And I have a passion for statistics and machine learning. I am a generalist and easily excited about new ideas and perspectives. In the course of my chemistry education, I focused on computational chemistry and later on bioinformatics. I developed my knowledge of machine learning while working in the fields of metabolomics and cellular image analysis. During my PhD research, I used statistics and pattern recognition to identify factors that shape our immune system in health and disease. In this research project, I gained experience with various types of omics data, including genomics, transcriptomics and metabolomics. I was involved in designing several cohort studies, and I am also the designer and research subject of a sophisticated N=1 study. To make science more accessible to the public, I write blogs for the Dutch National Science Foundation (KNAW) and create vlogs about science. Very recently, I started as a Postdoctoral researcher at the CeMM Research Center for Molecular Medicine in Vienna, Austria.