Summary
Luke Shannon is a PhD student in mathematics at the University of Bristol focusing on the intersection of machine learning and causal inference, building on a First Class Master's from the University of Warwick. He brings 4 years of industry experience as a data scientist at Admiral, where he developed predictive ML models, integrated solutions into GCP, and led pricing impact and portfolio integration work across insurance lines. His current research explores using imputation methods as treatment effect estimators, bridging practical applied analytics with formal causal methodology. Comfortable operating end-to-end from model development to production deployment, he has hands-on experience translating business problems into robust, scalable ML solutions. Outside academia and industry he performs as a singer/guitarist for charity and plays competitive tennis, reflecting a balance of creativity and teamwork. Based in Kirklees, UK, he combines rigorous mathematical training with real-world product and deployment experience.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Mathematics, 1st Class, Master's degree, Mathematics, 1st Class at University of Warwick