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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.

Team Members

Ciarán O'Driscoll

Clinical Educational Health Psychology (CEHP)

Liam Mason

Clinical Educational Health Psychology (CEHP)

Joshua Buckman

Clinical Educational Health Psychology (CEHP)

Talya Greene

Clinical Educational Health Psychology (CEHP)

Publications and Media Content

Rob Saunders, Zachary D Cohen, .... Steve Pilling, Joshua EJ Buckman
A patient stratification approach to identifying the likelihood of continued chronic depression and relapse following treatment for depression
2021
Anne-Katharina Deisenhofer, ... Joshua EJ Buckman, ... Wolfgang Lutz, Zachary D Cohen
Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward
2024
Akshay Nair, Robb B Rutledge, Liam Mason
Under the hood: using computational psychiatry to make psychological therapies more mechanism-focused
2020
Liam Mason, Eran Eldar, Robb B Rutledge
Mood instability and reward dysregulation—a neurocomputational model of bipolar disorder
2017
Josefin Westh, Marc Gelkopf, Michael AP Bloomfield, Talya Greene
Does armed conflict exposure predict psychotic experiences in the general population? An experience sampling study.
2024
SD Dicker-Oren, M Gelkopf, T Greene
Anxiety and restrained eating in everyday life: An ecological momentary assessment study
2024
Tayler E Truhan, Elyan Aarts, Emily McGlinchey, Talya Greene, Martin Robinson, Cherie Armour
Differential effects of received social support and mental health symptomology on affect in adults: an Ecological Momentary Assessment study
2025
Stephanie Allan, Ciarán O’Driscoll, Hamish J McLeod, John Gleeson, John Farhall, Emma Morton, Imogen Bell, Simon Bradstreet, Mathew Machin, Andrew Gumley
Fear of psychotic relapse: exploring dynamic relationships with common early warning signs of relapse using electronic once-a-day self-reports
2024
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