Biography As a Senior Bioinformatician at the Southampton Clinical Trials Unit (SCTU), I specialize in developing advanced data infrastructure and analytical pipelines for complex clinical and translational datasets. With a background at the intersection of medicine and computational science, my goal is to translate complex multi-omic data into actionable clinical insights. A key focus of my work is the design and stewardship of the COSMOS ecosystem, an open-source SQL database and a suite of secure analytical and data validation tools. We envision this as an end-to-end solution, providing a framework from data lake to discovery. My aim is to create sustainable and reproducible bioinformatics solutions for the clinical trials environment. My research centers on biomarker discovery for cancer immunotherapy with an emphasis on early diagnosis and patient stratification for precision therapy. I apply advanced methodologies, including machine learning, Bayesian and causal modelling, and deep learning, to identify predictors of patient response. My work on pan-cancer approaches aims to uncover universal biological mechanisms, while my research into the integration of Large Language Models (LLMs) seeks to automate knowledge extraction and accelerate hypothesis generation.