Dr Carol Webster
- Research Associate (Computing Science)
I am a Research Associate in the School of Computing Science, University of Glasgow. My current research involves using machine learning to study how cancer cells migrate across nanoengineered surfaces. I work in collaboration with colleagues in the Biomedical Interfaces Group at the School of Engineering, University of Glasgow, on a project funded by Cancer Research UK.
Previously, I spent a decade at the National Physical Laboratory in London, where I undertook research on quantum nanoscale devices for metrological applications. I worked with a variety of devices including Josephson qubits, quantum phase-slip junctions and single molecule magnets.
Prior to that, I studied for my PhD in physics at Oxford University. My research focussed on the interactions between vibrational and magnetic degrees of freedom in rare-earth oxide materials. The aim was to understand how these interactions influence the presence or absence of phenomena such as high temperature superconductivity.
Between working at the National Physical Laboratory and joining the School of Computing Science at the University of Glasgow , I took a career break to raise my children. During that time, I became interested in machine learning and took a number of courses online.
- Deep learning for image analysis.
- Convolutional neural networks for object detection and segmentation.
- Bayesian analysis and optimisation.
- Co-supervised a PhD student at Royal Holloway University of London working on nanoscale superconducting devices (2009-2012).
- Co-supervising an MSci student using deep learning for cell segmentation in fluorescent microscopy images (2018-2019).