Background

Over a 30-year career spanning engineering, simulation, and applied AI, I have worked across research, industry and professional bodies. My experience includes leadership roles within large-scale manufacturing, non-executive positions in research and technology organisations, and contributing to the global simulation community, including serving as Chair of the UK steering committee for NAFEMS.

Throughout this journey, I have become increasingly interested in how expertise is developed, applied, and—most critically—how it is often left unarticulated. Much of the value in engineering and technical decision-making comes not from formal processes, but from accumulated, experience-based judgement.

This work is informed by extensive experience in engineering, where limitations in knowledge transfer repeatedly constrained outcomes. It reflects my long-term interest in how expertise is developed and applied, and how emerging approaches may enable it to be more effectively captured and reused.

Tacitura is therefore an independent, exploratory research initiative focused on this challenge: how tacit knowledge can be more clearly expressed, structured, and supported using modern tools, including advances in AI and knowledge representation.

This work is early-stage and non-commercial in nature. The intention is to better understand the mechanisms by which expertise is formed and transferred, and to explore approaches that may help future practitioners make more effective use of it.

If you share an interest in these questions—whether from academia, industry, or practice—I would welcome a discussion.