Assistant Professor at the University of Warwick. I research digital health and AI in mental health โ and build tools that put data to work for real people.
I'm an Assistant Professor and Senior Research Fellow in the Mental Health & Wellbeing Unit at the University of Warwick Medical School, where I work at the intersection of data science, digital health, and cognitive neuroscience.
My PhD โ completed jointly at Imperial College London and Goldsmiths, University of London โ was in Neuroscience, building on an MRes in Brain Imaging from the University of Birmingham and a dual honours BSc in Psychology and Music from Keele University.
I've worked across King's College London, the Maudsley Biomedical Research Centre, and as a Football Data Scientist at a London tech startup. I also teach PhD students data science and Python from an industry perspective.
Outside academia I build digital products โ most recently SmartPaper, an AI-powered practice paper app for primary school children.
From brain imaging to AI products โ a career built across research, data science, and digital health.
Mental Health & Wellbeing Unit, Division of Health Sciences. Research focuses on digital phenotyping, smartphone-based interventions, and machine learning for mental health outcomes.
Patient and Public Involvement in psychiatric research. Developed NLP approaches to understand patient perspectives on ketamine as a depression treatment.
Applied machine learning to healthcare data. Won the Scopus Young Researcher UK Award (Arts & Humanities) in 2015 for research impact during this period.
Applied statistical modelling and data science to sports performance data.
Consulting across industry and healthcare on data strategy, machine learning pipelines, and digital product development. Teaches PhD students Python and data science from an industry perspective.
Applying research thinking to real-world products.
AI-powered Maths and English practice papers for primary school children (Years 2โ6). Adaptive learning, step-by-step feedback, and progress tracking. Built with React Native, Supabase, and Claude AI.
View project โUsing smartphone sensors and passive data collection to understand mental health at scale. Published in Nature Communications Medicine (2025).
View publications โDeveloped machine learning algorithms to identify and analyse mental health stigma on social media platforms at scale using NLP.
Read the research โPeer-reviewed work across digital health, neuroscience, and AI.
Full publication list on Google Scholar โ
Open to research collaborations, consulting enquiries, and conversations about digital health and AI.