Chiara studied molecular and technical medicine at Furtwangen University of applied Sciences, where she was interested in Biostatistics and Bioinformatics. Aiming for a deeper understanding of potential data analysis methods for the Life Sciences, Chiara joined the master program Data Science for Life Sciences at the Hanze University of applied Sciences. In her master thesis she focused on Knowledge Mining and Knowledge representation. Chiara joined the gene editing group in November 2023 as a PhD student to develop computational approaches for gene function inference from large-scale paired gene perturbations.