Matthew Iveson
Senior Data Scientist
- Centre for Clinical Brain Sciences
- Administrative Data Research Centre Scotland
- Centre for Cognitive Ageing and Cognitive Epidemiology
Contact details
- Tel: 0131 650 4005
- Email: Matthew.Iveson@ed.ac.uk
Address
- Street
-
Room F2, Psychology Building
- City
- 7 George Square, Edinburgh
- Post code
- EH8 9JZ
Background
I moved to Edinburgh in 2005, where I completed my undergraduate degree (Psychology), MSc by Research and PhD.
Since my Masters I have been interested in how cognition changes with age, and how this coincides with physical changes in the brain. During my PhD, run bilaterally between the University of Edinburgh and Suor Orsola Benincasa University (Italy), I gained an appreciation for the contribution of individual differences in demographic factors and general cognitive ability to age-related changes in cognition. After my PhD I led a research project in Kyoto (Japan) as a JSPS Post-doctoral Fellow. I returned to Edinburgh in 2016, taking up a position as a post-doctoral researcher at the Centre for Cognitive Ageing and Cognitive Epidemiology.
I now work as a Senior Data Scientist on an MRC-funded Mental Health Data Science grant, leading a project which aims to investigate mental health within and between generations by constructing a linked family e-cohort from routinely-collected data sources.
Qualifications
PhD Psychology, Suor Orsola Benincasa University & The University of Edinburgh 2011 – 2015
MSc by Research Psychology, The University of Edinburgh 2009 – 2010
MA (Hons.) Psychology, The University of Edinburgh 2005 – 2009
Research summary
I am interested in better understanding age-related changes in physical and mental health, and how factors from across the life-course - such as cognitive abilty - can predict these changes.
Current research interests
My current interests are in the contributions of life-course factors to mental health risk, the transmission of mental health risk between individuals, and the differential contributions of individual and shared factors to mental health risk.Past research interests
I am also interested in cognitive neuroscience more generally, particularly executive functions and working memory and their associations with prefrontal brain systems.Knowledge exchange
I am involved in several public enagagement activities, including most recently:
- Public enagagement around the use of NHS data and administrative data in research
- Public engagement around the value of data linkage studies and e-cohorts
- Knowledge exchange activities around depression research, including "Big Data Detectives" (Edinburgh Science Festival, 2019)
Research activities
Project activity
MC_PC_17209; McIntosh AM (PI) 2018-2020; MRC Mental Health Pathfinder Award: “Leveraging routinely collected and linked research data to study the causes and consequences of common mental disorders” - Work Package 1: Mental health within and between generations.
-
Do childhood socioeconomic circumstances moderate the association between childhood cognitive ability and all-cause mortality across the life course? Prospective observational study of the 36-day sample of the Scottish Mental Survey 1947
In:
BMJ Open, vol. 10, pp. e037847
DOI: https://doi.org/10.1136/bmjopen-2020-037847
Research output: Contribution to Journal › Article (Published) -
Early-life circumstances and the risk of function-limiting long-term conditions in later life
In:
Longitudinal and Life Course Studies, vol. 11, pp. 157-180
DOI: https://doi.org/10.1332/175795919X15762565000695
Research output: Contribution to Journal › Article (Published) -
Quarantine: infection prevention, but at what cost for mental health?
Mental Elf Blog Post › Other contribution (Published) -
Generational differences in loneliness and its psychological and sociodemographic predictors: An exploratory and confirmatory machine learning study
In:
Psychological Medicine
DOI: https://doi.org/10.1017/S0033291719003933
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Childhood socio-economic circumstances, cognitive function and education and later-life economic activity: Linking the Scottish Mental Survey 1947 to administrative data
In:
Longitudinal and Life Course Studies, vol. 11, pp. 55-79
DOI: https://doi.org/10.1332/175795919X15728445647266
Research output: Contribution to Journal › Article (Published) -
Does age affect medial prefrontal functions? A behavioral investigation
In:
Psychology & Neuroscience
DOI: https://doi.org/10.1037/pne0000194
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Navigating the landscape of non-health administrative data in Scotland: A researcher’s narrative
In:
Wellcome Open Research , vol. 4, pp. 97
DOI: https://doi.org/10.12688/wellcomeopenres.15336.2
Research output: Contribution to Journal › Article (Published) -
MQ Data Science Report to MRC on building a National Infrastructure for Mental Health Data Science in the UK
(12 pages)
DOI: https://doi.org/10.7488/era/1
Research output: › Other report (Published) -
Early-life predictors of retirement decisions and post-retirement health
In:
SSM - population health, vol. 8
DOI: https://doi.org/10.1016/j.ssmph.2019.100430
Research output: Contribution to Journal › Article (Published) -
Intelligence and all-cause mortality in the 6-Day Sample of the Scottish Mental Survey 1947 and their siblings: Testing the contribution of family background
In:
International Journal of Epidemiology, vol. 47, pp. 89-96
DOI: https://doi.org/10.1093/ije/dyx168
Research output: Contribution to Journal › Article (Published)