Emily is a first-year PhD student at the Department of Population Health Sciences at King’s College London. She completed her bachelor’s degree in Biochemistry at the University of Warwick. During this time, Emily underwent work experience in the Department of Biostatistics and Health Informatics at King’s College London, where she built a classification model in R studio to identify proteomic markers associated with Long-COVID development. This challenge taught her to analyse quantitative data via a machine learning approach, and she then refined these skills in a Bioinformatics course during her placement year abroad in Barcelona. Emily expanded her technical knowledge in both Python and R, and also explored their applicability in real-world biological settings. The skills she obtained from these experiences guided her analytical approach to her final year dissertation, in which she produced structural models and data visualisation techniques to track the impact of SARS-CoV-2 membrane protein mutations on healthcare burden.