Biography
Chris Mainey is a senior Data Scientist in the UK National Health Service (NHS). He leads the NRLS analysis team at NHS Improvement, focussing on analysing incident reporting data and other NHS data sources. He has experience in public health, clinical networks, acute trust informatics, and leading the establishment of the data science team at Healthcare Evaluation Data (HED), a national NHS analytics service from University Hospitals Birmingham NHS Foundation Trust.
Chris' work focuses on modelling NHS data, with strong expertise in R and SQL, and experience with a variety of statistical modelling and machine learning techniques. He completed his PhD at UCL, on modelling NHS incident reporting data using quantitative methods and NLP/text mining.
Chris is an experienced trainer, presenter, and post-grad teacher, keen on communicating health data, statistics and ML methods to a variety of audiences. He is a member of the NHS-R community Technical Advisory Group, has authored and maintains several R packages, and is keen to promote R awareness and adoption in the NHS.
This is a personal blog/website and does not reflect the opinions of NHS Improvement or any other organisation.
- R
- NHS and Healthcare data
- Statistical Modelling
- Machine Learning
- Natural Language Processing
- Teaching
PhD in Applied Statistics and Machine Learning, 2020
University College London (UCL)
PGC in Public Health, 2015
University of Birmingham
BSc in Microbiology with Industrial Experience, 2006
University of Manchester
Recent & Upcoming Talks
Experience
Senior Analyst and data science lead. Responsibilities include:
- Leading on development and implementation of data science methods at UHB
- Statistical and Machine Learning Modelling
- Building tools and systems in R and SQL
- Planning and line management
- Managing departmental learning and development function
- Leading series of commercial R-training courses
Senior Analyst and statistical lead. Responsibilities include:
- Data Analysis
- Statistical and Machine Learning Modelling
- Building tools and systems in R and SQL
- Planning and line management
- Training and presentation to customers and staff