Comms expertise meets AI fluency

I've been taking computers apart and testing the limits of tech since I was a child. That instinct — understanding systems from the inside, figuring out how to make them do more — has shaped many things I've done since.

I studied bioinformatics at university and started my career at the intersection of computing and life science, at a London informatics-driven biotech startup. From there I moved into pharma communications and strategy, where I've spent over two decades leading content development for major pharmaceutical brands —delivering symposia and adboards, strategic platforms, digital campaigns. Testing what works, finding better ways. I've managed writing teams, trained countless colleagues, and led complex projects from pitch to delivery for diverse clients including most of the top 10 pharma.

In my own time, I kept building and tinkering. Experiments with neural networks and lately language models — years of hands-on work with the technologies that now reshaping the nature of work. When "AI" tools arrived I didn't need to learn a new skill, I realised I've been practising already for years.

Now I am building bespoke AI systems for medical communications work: agentic workflows that draft, research, and quality-check in parallel; tools that understand the specific demands of pharma content; backed by training programmes that help sceptical and uncertain people become confident AI teams. My ability to architect these systems comes from understanding both the technology and the human work it helps to do.

This convergence of deep scientific and editorial expertise, technical fluency, and an instinct for making LLMs output quality work is what makes Ceres Strategy different. I'm not some AI enthusiast who read about medcomms. I'm a communications expert who builds AI systems.