In 2019, I made a significant decision: to pivot my entire research portfolio to Type 1 Diabetes technology. This wasn’t a small adjustment—it was a complete transformation of research direction, built on decades of experience in user modelling, adaptive systems, and digital phenotyping. Why Diabetes? Throughout my career, I’ve focused on understanding extreme users in extreme environments. From profound blindness to Parkinson’s disease, my work has always centred on creating adaptive systems that respond to users’ unique needs and contexts.

The Cochrane Collaboration Simply they are developed without due knowledge or understanding of prior art. I read papers every day, and I have a long memory. In fact I’ve been reading papers for 15 years both papers for my specific research, and then again those that just interest me. And for the last eight years I’ve kept notes on each paper to help me remember. I got into the habit by taking a lesson from one of my students, Darren Lunn.

SSI Is usable software important for you research? It’s a simple question, and I’d think a simple answer. From statistical analysis, to cloud services for data storage, to less mature but still necessary workflow management; most research scientitist I speak to use research software. While some of this software comes from industry as mature ‘billable’ applications or infrastructure, lots of software comes from research developments ‘by scientists for scientists’. Important but created on finite grants, it need to be preseved and developed for all to use.