About me
I research and develop evidence-based frameworks for effective AI training and adoption, partnering with consultancies and organisations to document proven methodologies. I share insights through my blog, exploring the intersections of AI with institutional knowledge, creative problem-solving, and thoughtful technology adoption.
Academic profile
I have served as principal investigator on a Wellcome Trust-funded interdisciplinary project, served on the steering group of an international research network, and held membership of the AHRC Peer Review College.
My work includes numerous peer-reviewed publications, international conference presentations including as plenary and keynote speaker, and a REF Impact Case Study ranked world-leading.
With extensive experience in research leadership, international collaboration, and university teaching, I excel at translating complex concepts for diverse audiences—a crucial skill when helping teams understand and integrate new technologies.
PhD, University of Minnesota
Masters, Harvard University
Tech profile
I build full-stack web applications using React and Django, focusing on AI integration and workflow optimisation. My development experience spans API design, cloud deployment, and prompt engineering.
This technical foundation allows me to understand AI capabilities and limitations from an implementation perspective, not just abstract possibilities.
Currently completing: Professional Certificate in Computer Science for Python Programming, HarvardX