Ba(Hons), MSc, PhD
Clinical Social Cognition (Bird Lab)
Telemetric measurement of interoception and digital therapeutics
My early research focused on computational intelligence approaches to understand and classify emotion in music making, which forced me to examine the psychophysiology of play, flow and stress. Having built technology (apps+sensors) that attempts to measure stress and interoception in neurotypical adults, I am now investigating the influence of interoceptive awareness on stress, as well as aspects of organisational behaviour surrounding empathy and vulnerability. I'm most interested in whether training interoceptive awareness through digital forms of biofeedback could contribute to better stress resilience and foster empathy, currently building pilot studies to test the feasibility of these ideas in large populations.
Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based "General Health Score" App: Prospective Cohort Study Using the UK Biobank.
Clift AK. et al, (2021), JMIR Mhealth Uhealth, 9
Development and Feasibility of a Digital Acceptance and Commitment Therapy-Based Intervention for Generalized Anxiety Disorder: Pilot Acceptability Study.
Hemmings NR. et al, (2021), JMIR Form Res, 5
Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis.
Booth A. et al, (2021), PLoS One, 16
Deep learning with wearable based heart rate variability for prediction of mental and general health
Coutts LV. et al, (2020), Journal of Biomedical Informatics, 112
Effectiveness of a Smartphone App (BioBase) for Reducing Anxiety and Increasing Mental Well-Being: Pilot Feasibility and Acceptability Study.
Kawadler JM. et al, (2020), JMIR Form Res, 4