Naomi earned her BA in Natural Sciences at the University of Cambridge. She completed her computational final year project in the Burdakov Lab, tuning ion channel kinetics to investigate silent gain modulation in a model neuron. Inspired to develop her software skills, Naomi began a career in technical consulting, working as a data scientist on projects in areas such as software scaling, technology benchmarking, and knowledge extraction frameworks. She returned to biology via a Master’s in Bioinformatics at the University of Edinburgh. In the Myant Lab, she applied trajectory inference techniques to single-cell transcriptomics data to study a fetal-like cell state with a hypothesised role in the progression from inflammatory bowel disease to colorectal cancer, identifying putative driver genes and cell populations implicated in the appearance and resolution of this state. Now a PhD student in the Ewald Lab at EMBL-EBI, Naomi studies the interface between chemicals and biology. Her project explores how existing knowledge can be leveraged for effective toxicogenomics experimental design, supporting the generation of new mechanistic insights into the role of chemicals in human disease.