Summary
Diane Golbourn is a Senior Consultant Engineer with 17 years’ experience applying mathematical physics, numerical methods and machine learning to production systems across telecoms, finance and cloud storage. Currently at Roke she focuses on AI/ML, cryptography and cloud DevOps, drawing on prior leadership building equities algorithms at Fidessa and video-compression R&D at Ericsson. Her background—anchored by a PhD in Mathematics from the University of Southampton—gives her a rare blend of theoretical depth and practical engineering for algorithmic and infrastructure challenges. Colleagues rely on her to translate complex models into robust, deployable services, and she often bridges research prototyping with secure, cloud-native delivery. An understated strength is her sustained cross-domain curiosity: from embedded systems and storage research to distributed ML pipelines.
17 years of coding experience
6 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at University of Southampton