I am an interdisciplinary scientist with a background in biomedical sciences, gene editing, quantitative proteomics, and computational biology. I studied Biomedical Sciences at VU University Amsterdam and Medical Biology at Radboud University in Nijmegen, where I worked at the Radboud Institute for Molecular Life Sciences on the molecular profiling of monocyte tolerance in vitro and in vivo, aiming to identify potential therapeutic strategies for sepsis.

My interest in gene regulation and genome editing led me to Boston Children’s Hospital, where I investigated the regulation of fetal hemoglobin expression and developed a computational pipeline for the analysis of dense CRISPR mutagenesis screens. This experience strengthened my enthusiasm for bridging experimental biology with computational approaches.

I completed my PhD in Biology, specializing in Quantitative Proteomics, at the Institute of Molecular Biology in Mainz, Germany. During my doctoral research, I focused on the computational integration of large, self-generated proteomic, transcriptomic, and genomic datasets to address a broad range of biological topics, including aging, protein aggregation, gene regulatory variants, and the DNA damage response.

I am currently a postdoctoral scientist working on gene editing projects in mammalian systems, where I combine in vivo experimentation with computational data analysis. Across my research, I am motivated by translating complex, multi-omics datasets into clear biological insights and by working collaboratively across disciplines to advance scientific understanding.