Data science for mental health

How can we use data analysis to tackle mental health issues like depression, dementia diagnosis, and the monitoring of cognitive function?




The vision for this interest group is to kick-start one or more projects using multi-modal data for mental health, leading to suitable clinical interventions.

Several strands of work are being explored including: monitoring depressive steps, mobility metrics, time series and longitudinal patterns of individuals, emotion sensing, digital biomarkers, predictive analytics, dementia diagnosis using spatial awareness, and using mobile apps, for example games, to diagnose and monitor compromised cognitive function.

Please visit the group's website for more information.

How to get involved

Click here to join us and request sign-up



Professor Zoe Kourtzi

Turing Fellow, Professor of Cognitive Computational Neuroscience at the University of Cambridge and Turing University Lead - Cambridge

Contact info

[email protected]

External researchers

Hugo Spiers, UCL
Kate Saunders, Oxford