Senior Data Scientist
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.
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
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 interestsMy 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 interestsI am also interested in cognitive neuroscience more generally, particularly executive functions and working memory and their associations with prefrontal brain systems.
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)
- Childhood cognitive ability and the use of care in later life
- Getting access to data in Scotland
- Early-life predictors of retirement decisions and post-retirement health
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.
Generational differences in loneliness and its psychological and sociodemographic predictors
Early-life circumstances and the risk of function-limiting long-term conditions in later life
Childhood socio-economic circumstances, cognitive function and education and later-life economic activity
Does age affect medial prefrontal functions? A behavioral investigation
Navigating the landscape of non-health administrative data in Scotland: A researcher’s narrative
Early-life predictors of retirement decisions and post-retirement health
Intelligence and all-cause mortality in the 6-Day Sample of the Scottish Mental Survey 1947 and their siblings
Intergenerational social mobility and subjective wellbeing in later life
Goal neglect, fluid intelligence and processing speed
Childhood cognitive function and later-life economic activity.