-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathpgdown_CV.Rmd
346 lines (192 loc) · 11.8 KB
/
pgdown_CV.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
---
title: "Christopher Mainey CV"
author: Chris Mainey
date: "`r Sys.Date()`"
output:
pagedown::html_resume:
css: ["CV.css"]
# set it to true for a self-contained HTML page but it'll take longer to render
self_contained: true
---
```{r setup, include = FALSE}
library(ragg)
ragg_png = function(..., res = 192) {
ragg::agg_png(..., res = res, units = "in")
}
knitr::opts_chunk$set(dev = "ragg_png", fig.ext = "png")
```
Aside
================================================================================
Contact Info {#contact}
--------------------------------------------------------------------------------
- <i class="fa fa-envelope"></i> [email protected]
- <i class="fa fa-globe"></i> [mainard.co.uk](https://www.mainard.co.uk)
- <i class="fa fa-github"></i> [github.com/chrismainey](https://github.com/chrismainey)
- <i class="fa fa-twitter"></i> [twitter.com/chrismainey](https://twitter.com/chrismainey)
- <i class="fa fa-linkedin"></i> [linkedin.com/chrismainey](https://www.linkedin.com/in/chrismainey/)
- <div itemscope itemtype="https://schema.org/Person"><a itemprop="sameAs" content="https://orcid.org/0000-0002-3018-6171" href="https://orcid.org/0000-0002-3018-6171" target="orcid.widget" rel="noopener noreferrer" style="vertical-align:top;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" style="width:1em;margin-right:.5em;" alt="ORCID iD icon">0000-0002-3018-6171</a></div>
Summary {#skills}
--------------------------------------------------------------------------------
- Experienced NHS data scientist, working in Patient Safety, data analysis, indicator development, and training.
- Significant experience with modelling HES data, NRLS, standardised mortality methods and data visualisation.
- Skilled in R, SQL, Python, Regression Modelling, and Machine Learning.
- Managing Data Science team with interests in risk modelling and natural language processing.
Disclaimer {#disclaimer}
--------------------------------------------------------------------------------
<br>
This CV was made with the R package [**pagedown**](https://github.com/rstudio/pagedown).
View online at [here](https://chrismainey.github.io/Chris_Mainey_CV/)
Last updated on `r Sys.Date()`.
Main
================================================================================
Christopher Mainey {#title}
--------------------------------------------------------------------------------
### Experienced NHS data scientist with interests in predictive modelling, machine learning, text mining, and teaching
My work focuses on statistical analysis of National Health Service (NHS) data, primarily on designing and modelling data, as well as measuring change using national data, including the National Reporting and Learning System (NRLS) and Hospital Episode Statistics (HES). I work primarily in `R` and SQL Server, as well as Python and SAS, and have experience with statistical modelling and machine learning methods. I completed my PhD at UCL, on modelling NHS incident reporting data using using quantitative models and text mining methods.
I advise and train NHS teams and the private sector on using data to manage hospitals, monitor quality, performance, patient safety, and mortality. I am an experienced trainer, presenter and post-graduate teacher. I have built and released several `R` packages and a Senior Fellow in the NHS-R Community.
<br>
### Key skills
```{r skillzcloud, echo=FALSE, warning=FALSE, message=FALSE, fig.width=6, fig.height=2.5}
skillz<-c(rep("teaching", 7), rep("R",10), rep("SQL",9), rep("GLM", 8), rep("regression", 6), rep("work planning",4), rep("line management", 3), rep("report writing",4),rep("regression trees", 4), rep("GAM",6), rep("text mining", 4), rep("case-mix adjustment",4), rep("market-share analysis", 3), rep("neural networks", 2), rep("machine learning", 6), rep("Rmarkdown", 6), rep("R package dev", 6), rep("git",8), rep("multilevel models", 6), rep("data visualisation", 5), rep("training", 6), "Stata", rep("SAS",4), rep("Data Analysis", 8), rep("Data linkage", 5), rep("Communication", 3), rep("debugging",3), rep("course development",4), rep("hospital data", 8), rep("HES",6), rep("NRLS",6), rep("Steis",3),rep("LFPSE",4),
rep("overdispersion", 7), rep("SPC", 6), rep("cusum", 5), rep("standardised mortality", 6), rep("benchmarking", 4), rep("statistical analysis", 6), "Auditing", rep("indicator development", 6), rep("spotfire", 6), rep("python",7), rep("epidemiological analysis", 3), rep("critical appraisal",2), rep("hypothesis testing", 3), "scikit-learn",
rep("linux", 2), rep("Agile",2), rep("Automation", 2),rep("smoothing methods",2), rep("rmarkdown", 3), "boosting", "time-series", "system design", "dashboard building", "Shiny", "ggplot2", "caret", "wordclouds", "topic modelling", "LDA", "mgcv", "glmnet", rep("FunnelPlotR",3), "NHSRdatasets", "randomForest", "tidyverse", "databases", "DBI", "odbc", "tidytext", "quanteda", "Keras", "multinom", "rpart", "xaringan", "blogdown", "bookdown", "vitae", "leaflet", "Hugo", "CI", "Codecov", "testthat", "devtools", "usethis", "RStudio", "lme4", "glmmTMB")
library(ggplot2)
library(ggwordcloud)
library(dplyr)
my_df<- data.frame(doc=1,words=skillz, stringsAsFactors = FALSE)
dt<-my_df %>%
group_by(doc, words) %>%
summarise(freq = n()^2)
ggplot(dt, aes(label=words, size=freq, col=freq))+
geom_text_wordcloud_area(eccentricity = 0.45, area_corr = TRUE,
area_corr_power = 1/1.5,
seed=133)+
#scale_size_area(max_size = 12) +
scale_radius(range=c(2,14), limits=c(0,NA))+
scale_color_viridis_c(begin = 0, end=1, option = "D")+
theme_minimal()
#coord_fixed(ratio=0.5, expand=FALSE, xlim=c(0, NA), ylim=c(0, 0.9))
#coord_polar()
```
Education {data-icon=graduation-cap data-concise=true}
--------------------------------------------------------------------------------
### University College London (UCL)
PhD Applied Statistics and Machine Learning
London, UK
2020
Thesis: Statistical methods for NHS incident reporting data
### University of Birmingham
PGCert. Public Health
Birmingham, UK
2014
MPH programme, left partially unfinished due to commencing PhD, finished as PGCert instead.
### CIPD / City College Coventry
CIPD Certificate in Training Practice
Coventry, UK
2009
### University of Manchester
BSc Microbiology with Industrial Experience
Birmingham, UK
2006
Thesis: A model of Pseudomonas aeruginosa in the Cystic Fibrosis lung.
Placement: One-year with Arch Biocides
Experience {data-icon=laptop}
--------------------------------------------------------------------------------
### Head of Patient Safety Measurement
NHS England
UK
2022 - Present
- Managing portfolio of Patient Safety Lead - System Analysis and Delivery (below), as well as analytical team for measuring patient safety improvement programmes, and ad-hoc analysis needs.
- Developing and implementing measurement plans and methods.
- Advising NHSE and external stakeholders on use of data and understanding of patient safety.
### Patient Safety Lead - System Analysis and Delivery
NHS England
UK
2021 - 2022
- Management of analytical team, including regular, ad-hoc and official statistics work
- Developing and implementing new methods for analysing incident data, forecasting, and measuring improvement.
- Natural language processing projects including analysis of incident reporting data
- Contributing to wider NHSE/I analytics work, data science infrastructure, and analyst development.
### Senior Data Scientist
Health Informatics, University Hospitals Birmingham NHS FT
Birmingham, UK
2020 - 2021
- Managing and delivering senior analyst functions in HED (see below)
- Managing informatics training function and team, including strategy and delivery, and commercial R training courses
- Line management and leading data science projects in research and production, such as prediction of missing categorical data, survival modelling, and risk prediction from electronic patient records.
### Intelligence Analyst
Healthcare Evaluation Data (HED), Health Informatics, University Hospitals Birmingham NHS FT
Birmingham, UK
2012 - 2019
- Statistical lead and senior analyst, focused on building predictive models in `R` and SAS, indicator design, SQL database infrastructure and processes, as well as quality assurance.
- Building online, HES-based, national analysis tools: [www.hed.nhs.uk](https://www.hed.nhs.uk).
- Highly involved in customer support, training and translating between analysts, business teams and users.
- Line management and team work planning, using Agile methods.
- Run local `R` usergroup, contributing to national NHS-Community, and established a commercial `R` training programme.
### Data Manager (AIR Study)
Clinical Immunology (sub-contracted from UHB), University of Birmingham
Birmingham, UK
2012 - 2016
- Data extraction and outcome linkage for trial participants, from UHB attendance and clinical data systems.
### Informatics Analyst
Health Informatics, University Hospitals Birmingham NHS FT
Birmingham, UK
2011 - 2012
- Producing monthly reporting outputs for UHB clinical and performance management functions
- Specialist analysis, dashboard building, and information development for HIV service.
### Cancer Informatics Analyst
Arden Cancer Network
Coventry, UK
2010 - 2011
- Informatics support for network service improvement projects.
- Constructed cancer waiting times reporting system and various automated templates.
### Information Officer
West Midlands Cancer Intelligence Unit (WMCIU)
Birmingham, UK
2009 - 2010
- Producing statistics for information requests.
- Investigative analysis, e.g. difference from nationally published figures and research data.
- Supervising/validating work of junior analysts.
Teaching and Assessment Experience {data-icon=chalkboard-teacher}
--------------------------------------------------------------------------------
### Use of Evidence
First year UCL medical school course on study design and statistics. Led a tutorial group over the course and delivered lectures to full course group.
London, UK
2016 - 2018
### Statistical Methods in Epidemiology
Teaching assistant on MSc Data Science for Health, UCL Farr Institute/LSHTM
London, UK
2016 - 2017
### Understanding the NHS
Assessing first year medical student assignments on NHS structure, history, and current/future challenges.
London, UK
2016 - 2017
### Research dissertations
Second assessor on MSc Mental Health dissertations for students with quantitative studies.
London, UK
2016 - 2017
Selected Publications, Posters & Talks {data-icon=file}
--------------------------------------------------------------------------------
### Ethnicity and risk of death in patients hospitalised for COVID-19 infection in the UK: an observational cohort study in an urban catchment area
BMJ Open Respiratory Research. 2020;7:e000644.
N/A
2020
Sapey E, Gallier S, **Mainey C**, Nightingale P, McNulty D, Crothers H, Evison F, Reeves K, Pagano D, Denniston A, Niranthrakumar K, Diggle P, Ball S
### Driving R adoption in an NHS information service: barriers and solutions
Talk at Enterprise Applications of the R Language (EARL) conference
London, UK
2019
### Using funnel plots and CUSUM techniques to monitor hospital-standardised mortality
Talk at Royal Statistical Society Conference
Belfast, UK
2019
### Modelling Incident Reporting in the NHS
Poster for Royal Statistical Society Conference
Cardiff, UK
2018
### Brief Report: Immunization of HIV-Infected Adults in the UK With Haemophilus influenzae b/Meningococcal C Glycoconjugate and Pneumococcal Polysaccharide Vaccines
J Acquir Immune Defic Syndr. 2016 Nov 1;73(3):287-293.
N/A
2016
MacLennan C, Richter A, Hodson J, Faustini S, Birtwistle J, Whitelegg A, Chigiga J, Singo M, Walker-Haywood J, Mulugeta B, Masuka S, **Mainey C**, Plant T, Drayson M; Manavi K