Summary
Michael Adcock is a data scientist with nine years' experience applying statistical and machine learning techniques to healthcare, bioinformatics, and commercial data, currently delivering analytics at The Christie NHS Foundation Trust. Trained in biochemistry and bioinformatics (University of Leeds; MSc Distinction, Manchester), he has led end-to-end projects from data cleaning and clustering to probabilistic modelling and agent-based simulation in multidisciplinary teams. Michael has translated sensitive, large-scale datasets into operational insight for commercial partners and public health settings, and has hands-on experience with ensemble Kalman filters and Bayesian approaches that reflect a strong quantitative core. Comfortable in both research and applied environments, he pairs contract-pharma discipline with a collaborative communication style and a curiosity-driven habit of exploring Kaggle and personal projects to prototype novel solutions.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Bioinformatics and Systems Biology, Distinction, Master's degree, Bioinformatics and Systems Biology, Distinction at The University of Manchester
Bachelor of Science - BS, Biochemistry (Industrial) (honours), Bachelor of Science - BS, Biochemistry (Industrial) (honours) at University of Leeds