Matthew Iveson

Senior Data Scientist

Centre for Clinical Brain Sciences
Administrative Data Research Centre Scotland
Centre for Cognitive Ageing and Cognitive Epidemiology

Tel: 0131 650 4005
Email: Matthew.Iveson@ed.ac.uk

Street: Room F2, Psychology Building
City: 7 George Square, Edinburgh
Post code: EH8 9JZ

Biography

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

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

Childhood cognitive ability and the use of care in later life 10 Dec 2019
Getting access to data in Scotland 22 Nov 2019
Early-life predictors of retirement decisions and post-retirement health 26 Sep 2019

View all 26 activities on Research Explorer

Projects

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.

Publications

Early-life circumstances and the risk of function-limiting long-term conditions in later life 1 Apr 2020 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? 30 Mar 2020
Mental Elf Blog Post › Other contribution (Published)
Generational differences in loneliness and its psychological and sociodemographic predictors: An exploratory and confirmatory machine learning study 9 Mar 2020 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 1 Jan 2020 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 23 Dec 2019 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 21 Oct 2019 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) 9 Sep 2019
DOI: https://doi.org/10.7488/era/1
Research output: › Other report (Published)
Early-life predictors of retirement decisions and post-retirement health Aug 2019 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 1 Feb 2018 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)
Intergenerational social mobility and subjective wellbeing in later life (10 pages) Sep 2017 In: Social Science & Medicine, vol. 188, pp. 11-20
DOI: https://doi.org/10.1016/j.socscimed.2017.06.038
Research output: Contribution to Journal › Article (Published)

View all 15 publications on Research Explorer

This article was published on 27 Sep, 2020