I hold a joint honours degree in Biology and Economics from the University of St Andrews, which provided me with a strong foundation in molecular biology and statistical data analysis. Building on this interdisciplinary background, I completed an MPhil in Genomic Medicine at the University of Cambridge, where my dissertation focused on using molecular epidemiological techniques to identify metabolite biomarkers and potential drug targets for Type 2 Diabetes.
My current research interests involve using the full spectrum of molecular data to better understand the underlying causes of diseases. Through this research, I aim to discover novel therapeutic targets and contribute to advancing personalised medicine. Ultimately, I aim to help develop more efficient, tailored treatments for complex diseases.”
Project Information
Research Driver Programme: Molecules to Health Records
Project Title: Multi-omics
Summary:
Until recently, collecting and analysing large sets of biological data covering the molecular chain, from genes to proteins and beyond, has been challenging. This kind of data, called “omics” data, includes different layers of information such as genomics (DNA), transcriptomics (RNA), proteomics (proteins), and metabolomics (chemicals processed in the body). Previously, scientists usually studied only one of these layers at a time to understand diseases. However, by combining all these different types of data, I hope to get a more complete picture of what causes diseases and to identify the most effective ways to treat them.
