Biography

Chris Mainey is a senior Data Scientist/Statistician/Analyst in Health Informatics. He is a member of the Healthcare Evaluation Data (HED) team at University Hospitals Birmingham NHS Foundation Trust (UHB), and leads development of data science techniques in Informatics at UHB.

Chris’ work focuses on modelling National Health Service (NHS) data. He works primarily in R and SQL Server, and has experience with various statistical modelling and machine learning techniques. He is currently finishing his PhD at UCL, focused on modelling methods for NHS incident reporting data.

Chris is an experienced trainer, presenter and post-grad teacher, keen on communicating health data, statistics and ML techniques to a variety of audiences. He leads a local R usergroup at UHB, 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 UHB, HED or any other organisation.

Interests

  • R
  • NHS and Healthcare data
  • Statistical Modelling
  • Machine Learning
  • Natural Language Processing
  • Teaching

Education

  • PhD in Applied Statistics and Machine Learning, 2019 (submitted)

    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

Driving R adoption in an NHS information service, barriers and solutions

Summary of our use and adoption of R, and how this might help other organisations.

Why `mgcv` is awesome

A lightning talk tour of why mgcv is awesome, including what regression models are, options for dealing with non-linear relationships, …

Why I love data.table (or, 'All of the datas, and none of RAMs...')

A five minute overview of why data.table is awesome. It’s fast, indexed, and holds more data than you can with plain …

Driving R adoption in an NHS information service, barriers and solutions

Summary of our use and adoption of R, and how this might help other organisations.

Regression Modelling in R

A two-hour practical workshop on regression modelling, run twice on the second day of the conference.

Recent Posts

Reflections on building my first few R packages

HEDfunctions, FunnelPlotR and NHSRdatasets reflections

RSS2019 conference

Royal Statistical Society (RSS) Conference 2019 Talk: Using funnel plots and CUSUM techniques to monitor hospital-standardised …

FunnelPlotR published on CRAN!

Funnel Plot R package published on CRAN!

SQL Server Database connections in R

Getting data into R One of the things I found most difficult when learning R was getting data from our SQL Servers into R to analyse. …

Introduction to Funnel Plots

An introduction to funnel plots, and using the CMFunnels package

Software and R Packages

NHSRdatasets

NHSRdatasets - a collaborative datasets package for teach and learning R in healthcare contexts

FunnelPlotR

FunnelPlotR - an R package for building funnel plots for indirectly standardised ratios

Experience

 
 
 
 
 

Senior Statistical Intelligence Analyst

Healthcare Evaluation Data (HED) - Univ. Hospitals Birmingham NHS FT

Jan 2020 – Present Birmingham, UK
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
 
 
 
 
 

Postgraduate Teaching Assistant

University College London (UCL)

Sep 2015 – Sep 2018 London, UK
Leading seminars/teaching sessions, and lecturing on statistics and use of evidence for medical school, leading seminars and group practicals on Masters in Data science for Healthcare, and marking for undergraduate medical school projects and quantitative psychology masters dissertations.
 
 
 
 
 

Intelligence Analyst

Healthcare Evaluation Data (HED) - Univ. Hospitals Birmingham NHS FT

Jun 2012 – Jan 2020 Birmingham, UK
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
 
 
 
 
 

Data Manager (AIR Study)

University Hospitals Birmingham NHS Foundation Trust/University of Birmingham

Jan 2011 – Jun 2012 Birmingham, UK
Data linkage and algorithm development for following up attendances, vaccinations and blood tests in HIV-patient cohort.
 
 
 
 
 

Informatics Analyst

University Hospitals Birmingham NHS Foundation Trust - Health Informatics

Jan 2011 – Jun 2012 Birmingham, UK
Monthly hospital KPI reporting process & HIV dashboard and analytics development.
 
 
 
 
 

Cancer Informatics Analyst

Arden Cancer Network

Mar 2010 – Jan 2011 Coventry, UK
Informatics support and analysis for various network projects including surveys design and data capture, monthly cancer waiting times reporting, and data analysis and preparation for peer review.
 
 
 
 
 

Information Officer

West Midlands Cancer Intelligence Unity (WMCIU)

Mar 2009 – Mar 2010 Birmingham, UK
Production of regular cancer registration statistics, ad-hoc and specialist reports, and supervision of other teams members.

Contact