
Real-World Data and Computational Psychiatry
This research leverages the data-gathering capabilities of digital technology, particularly smartphones, to build more accurate and personalised models of mental health.
The work of these researchers moves beyond traditional, episodic assessments of mental health. Dr. Mason is a key figure in this area, using smartphone-based assessments to collect real-time data on mood and behavior. His lab's focus on computational psychiatry uses this rich data to model the mechanisms of psychological change. This data-centric approach is shared by Dr. Buckman, who analyzes large-scale datasets from real-world mental health services (including digital ones) to identify which treatments work best for whom. Dr. O'Driscoll also contributes by using digital data to understand the complex, dynamic nature of mental health symptoms over time. Together, their work aims to create a more precise, data-driven, and personalized approach to mental healthcare.



