(My supervisors) encouraged me to take my own research direction, guided by my interests, and to be involved in the wider community, presenting at and attending a wide range of national and international conferences

Before joining SAMBa, I did a MMath at Emmanuel College, Cambridge. I did several research internships including in the Cambridge Image Analysis group and in a data science team at GSK in Stevenage.

My research was in generative machine models applied to inverse problems in imaging. An inverse problem is the process of calculating from observations the causal factors that produce them for example calculating an image from transmission data from a CT scan or reconstructing an image that has been taken in low light or blurred by motion. Generative modelling is the technology behind deep fakes and chatGPT, and generative models generate new data based on learning from lots of similar examples. I combined the two areas of deep learning and inverse problems, using generative models to provide more information to image reconstruction problems. I was supervised by Matthias Ehrhardt and Neill Campbell who were very supportive and encouraged me to take my own research direction, guided by my interests, and to be involved in the wider community, presenting at and attending a wide range of national and international conferences.

Outside of research, SAMBa gave me opportunities to be involved with a wide range of other opportunities. ITTs gave me the skills to understand and synthesise information quickly, translating complex real-world challenges into interesting mathematical problems. Importantly they gave us an opportunity to work with a wide range of people, from professors to industry experts, in collaborative teams on equal footing, a great atmosphere for learning and development. I was lucky to participate in two ITTs in collaboration with Mexican universities on vital topics such as earthquake detection. I was also able to develop teaching and leadership skills through tutoring, widening participation programmes, organising the SAMBa conference, as part of the SIAM-IMA student chapter and much more. I really valued the friendly and supportive atmosphere cultivated by SAMBa and the department. I think most importantly, SAMBa PhD students are really seen as valuable members of the Mathematics Department, and this benefits everyone!

When not at university or doing maths, I was a local Guide and Cub Scout leader as well as taking on other volunteer roles for Girlguiding UK. To relax, I could either be found running about the beautiful countryside of Bath or doing endless laps in the university swimming pool!

I am currently working as a Computational Scientist in Imaging at the Science and Technology Facilities Council, part of UK Research and Innovation. I am part of an imaging team who focus on tomography (think a CT scanner). We work in collaboration between the mathematics and tomography user communities, to provide the UK tomography community with a toolbox of algorithms that increases the quality and level of information that can be extracted by computed tomography. The idea is to bring people together to develop approaches to applied challenges and so I directly use the collaboration and problem-solving skills that I developed during SAMBa ITTs.