Applied machine learning, FinTech AI, digital health interventions, maritime analytics, and evidence-based policy modelling. I lead interdisciplinary projects that bridge academia and industry.
Transformer architectures for transaction monitoring, synthetic datasets, and operational deployment with industry partners.
Predictive interventions for emergency responders and co-designed patient-facing technologies.
Sensor-driven performance optimisation, routing efficiency, and emissions reduction strategies.
Dynamic ARDL simulations, policy impact modelling, and sustainability-linked economic analysis.
Accepted paper on Transformer-based transaction monitoring; industry dataset release and open-source toolkit.
Knowledge Transfer Partnership delivering AI solutions for care sector operations; pilot deployment and evaluation.
Successful viva and thesis submission with multiple journal acceptances derived from the thesis work.
Collaborations with Hampshire Constabulary and NHS partners to develop wellbeing interventions for responders.
Knowledge Transfer Partnership with Nourish Care to develop care-sector AI solutions.
Maritime analytics project focusing on vessel performance and predictive maintenance.
Seed funding for early-stage PhD projects and prototype development.
A call for empirical studies on AI agents applied to strategic digital transformation, governance and organisational use-cases.
An industry-academic KTP developing AI tools to improve care-sector operations and workforce efficiency.
Seeking chapters on monitoring, learning and evaluation approaches that centre people and public-sector impact.
I'm open to industry partnerships, PhD supervision, and interdisciplinary grant applications. Get in touch to discuss ideas.
Contact Me