SAMBa exposes students to a wide range of cutting edge statistical and mathematical research that will be useful to them in their PhD and later career
My PhD, which I completed under the supervision of Eike Müller and Ivan Graham, involved developing efficient preconditioners for elliptic PDEs discretised using higher order discontinuous Galerkin methods.
This work was implemented for modern high performance computing architectures and has applications in atmospheric modelling and weather forecasting. This led to later collaboration with the MetOffice and other international software projects. My general mathematical interests lie in numerical analysis, partial differential equations and high performance computing.
During my time as part of SAMBa I took an active role in training others in maths and members of the wider doctoral college community in modern good practice for using and developing software. I contributed to Bath’s Advancing Research Computing and HPC symposia, in addition to the other large national and international conferences as part of my PhD.
I am now a Research Software Engineer in the Department of Mathematics at Imperial College London. My current research combines continuum mechanics code generation frameworks that
are petascale-ready with an outer loop (such as MLMC) in order to develop software simulations capable of fully utilising upcoming exascale computing hardware. I am also an active member of the Firedrake development team.
SAMBa allowed me to meet many potential academic supervisors before committing to a PhD project, whilst simultaneously developing a wide range of mathematical and research skills. I had the opportunity to share my research with SAMBa cohorts, and contribute to wider and varied research through ITTs, which isn’t possible in other PhD programmes. I also had the freedom to
develop my own specialism and decide how that fits into the wider area of statistical applied mathematics.
SAMBa exposes students to a wide range of cutting edge statistical and mathematical research that will be useful to them in their PhD and later career, even if they don’t realise it at the time.
I really valued the experience of being part of a cohort of students in SAMBa, which guaranteed that we were not doing our PhDs in isolation, despite working intensively on independent projects
The ITTs can be really fun. The best part is that each time you participate you come out with a head full of new ideas and knowledge. Truly amazing
The SAMBa team understands how to efficiently bridge the gap between the abstract world of mathematics and statistics to industrial research
I found the one-on-one reading courses an incredible opportunity to both learn about a topic in detail, and to get to know a potential area and supervisor before starting my PhD
SAMBa provided a uniquely supportive yet challenging environment, in which one is encouraged to explore their interests and question their limits
My experience in SAMBa shaped me as a versatile researcher with the ability to use maths to make an impact.
I joined thinking I wanted to do one type of PhD but ended up doing a completely different one due to the flexibility that was provided in finding/forming a PhD during the masters year
I had the opportunity to get involved in some international training and capacity building activities with international partners and was able to travel to Brazil and Mongolia to share my knowledge of statistical methods and applications, which was really rewarding.
SAMBa’s most remarkable feature is the variety of study options it offers
I can't imagine studying for my PhD anywhere other than SAMBa
