In 2023, I completed a Master in Mathematics and Applications, Engineering and biostatistics with an internship in the EpiAgeing team from CRESS on the identification of thresholds for metabolic risk factors for dementia risk. Then, I joined the team as a PhD student to work on the association between profiles of circadian rhythm measured using accelerometers and cognitive ageing. Using data from the Whitehall II cohort, I plan to use unsupervised machine learning approach to identify profiles of circadian rhythm and then examine their association with cognitive ageing.
Thesis title: Importance of circadian rhythm for cognitive ageing
Promotion: 2026
Research interests
- Machine learning approaches
- Alzheimer disease and related disorders
- Population ageing
Theses
Importance of circadian rhythm for cognitive ageing
Sam Vidil
Supervisor.s : Séverine Sabia
