Summary
Chris Mainey is Head Data Scientist with eight years' leadership in NHS data science, specialising in large administrative health datasets like HES and NRLS and in turning incident reporting data into actionable safety measurement. He combines deep statistical expertise—GAMs, mixed models, SPC, time-series—and modern ML techniques including boosting, RF, SVMs, neural nets and NLP, backed by a PhD from UCL on statistical and ML methods for NHS incident data. A prolific R enthusiast and package author, he champions reproducible analytics workflows and is a member of the NHS R-community Technical Advisory Group. His career spans frontline trust informatics through national NHS analytics leadership, giving him practical domain fluency in clinical networks, public health and improvement programmes. Known for clear communication, training and translating complex methods for diverse stakeholders, he also enjoys crafting elegant GAMs and embedding advanced text models into patient-safety insights. Based in Coventry, he blends academic rigour with operational delivery to drive measurable improvements in health system safety and performance.
7 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc) Microbiology general, Bachelor of Science (BSc) Microbiology general at The University of Manchester
PGCert Public Health, PGCert Public Health at University of Birmingham
Calday Grange Grammar School
University College London
English