Chrysa Papadopoulou is a passionate bioinformatician, pursing her doctoral degree at the University of Zurich and the Institute of Immunobiology, Kantonsspital St. Gallen. Using scRNA-seq and spatial transcriptomics technologies, she computationally deciphers the role of bone morphogenic protein signaling in fibroblastic reticular cell development and growth of primary and metastatic cancerous niches in murine and human lymphoid tissues.She has obtained a 5-year Diploma in Electrical and Computer engineering from the University of Thessaly, Volos, Greece and a 2-year master degree in Computational Biology and Bioinformatics from ETH Zurich. During her master thesis at ETH Basel, she developed an R computational framework which facilitates the study of B cell evolution and somatic hypermutation by inferring B cell mutational networks and assessing the immune repertoire diversity through graph theory metrics. Her software has been integrated into publicly available tools Platypus (Yermanos at al., 2021) and Echidna (Han at al., 2022) and into lab publications (Neumeier et al., 2022). Before starting the PhD, she performed an internship at the Sunagawa Lab for Microbiome Research at ETH Zurich, where she developed and implemented new functionality to a web database of ocean microbial genomes, contributing to a work published at Nature (Paoli at al., 2022). In her free time, when she doesn’t code, she enjoys playing the piano, traveling and taking pilates classes.