Dr Catherine Higham
Dr Catherine Higham brings a diverse background spanning mathematics, bioinformatics, and artificial intelligence.
After completing a mathematics degree at the University of Oxford, she worked in the private sector analysing consumer marketing strategies before returning to academia through a Daphne Jackson Fellowship at the University of Glasgow. This was followed by a Lord Kelvin/Adam Smith PhD studentship focused on studying Somatic DNA mutations.
Her current research sits at the intersection of AI, machine learning, and emerging quantum technologies. Dr Higham’s work explores generative models that simulate complex data, hybrid classical–quantum algorithms designed to work with today’s quantum hardware limitations, and active inference methods that help AI systems make decisions under uncertainty. Through collaborations with experimental physicists, she has applied computational approaches to cutting-edge technologies including single pixel cameras, LiDAR systems, and quantum annealers.