Understanding Combination Use of Tobacco, E-cigarettes, and Cannabis: Predicting Modifiable Risks and Treatment Pathways Using Machine Learning

Project Code

MRCNMH26Br Burke

Project Type

Dry lab

Research Theme

Neuroscience and Mental Health

Project Summary Download

Summary

Combination use of tobacco, e-cigarettes, and cannabis is increasingly common, particularly among young people, yet little is known about how these patterns influence mental health outcomes or treatment response. This PhD project will apply a four-part research strategy—including systematic review, predictive modelling, and machine learning validation—across large-scale cohort studies to identify modifiable risk factors and translate these into tailored digital mental health interventions. The student will receive advanced training in data science, epidemiology, and translational digital health.

Lead Supervisor

Dr Chloe Burke

Lead Supervisor Email

chloe.burke@bristol.ac.uk

University Affiliation

Bristol