Summary
Sam Bowyer is a Computational Statistics & Data Science PhD candidate at the University of Bristol with five years’ experience bridging mathematics, software development, and bioinformatics. He holds an MSci in Mathematics and Computer Science from the University of Birmingham and has applied his skills across research, policy analysis, and teaching roles. Sam contributes to bioinformatics tooling for Loman labs and the ARTIC network, and has served as technical lead for CLIMB-GRE/mSCAPE, demonstrating experience with research-grade infrastructure. He has practical experience in statistical modelling from an internship at Cohere and in helping teams and students translate complex algorithms into usable code. Outside academia he’s led problem-solving sessions for school students and taught music privately, reflecting a strong aptitude for communication and pedagogy. Sam combines rigorous quantitative training with hands-on development in collaborative research environments.
5 years of coding experience
MSci Mathematics and Computer Science, MSci Mathematics and Computer Science at University of Birmingham
Doctor of Philosophy - PhD Computational Statistics and Data Science, Doctor of Philosophy - PhD Computational Statistics and Data Science at University of Bristol