New paper on the operationalization of the ATN classification scheme in preclinical AD has been published
What is your current role in EPAD?
I co-lead WP2 (Statistical/Methodology Engine Room) and I am also a member of the Balancing Committee that has important input in the selection of individuals into the EPAD Longitudinal Cohort Study. I have been involved in different roles in various publications using the EPAD data.
Tell us a bit about the institution/company/organisation you work for.
I work at the Edinburgh Dementia Prevention group of the University of Edinburgh, where I am a senior lecturer in biostatistics and dementia. We are a very active group leading research in dementia prevention, the epidemiology of dementia and ageing and collaborate with numerous local, national and international groups involved in research in these areas. We are leading research in brain health and importantly, we run multiple dissemination activities in Edinburgh and across Scotland.
We also have several PhD students and early career researchers working with us who are also part of the EPAD academy.
What are your expectations from the EPAD project?
EPAD is an outstanding resource for advancing dementia research, filling in important gaps in the field. From an analytical perspective, EPAD provides fantastic opportunities for the application and development of new methodologies to answer substantive questions in dementia that have not been fully answered yet due to limitations in existing data. The fact that the data is open to the wider community is also a plus to maximise its use and enhance opportunities for faster advancements.
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