Before joining SAMBa, I did a BA at Trinity College, Dublin and then worked for a short time at Deloitte.
My research explored methods to detect and attribute changes in flooding and other environmental variables. This resulted in methods for the detection of spatially coherent trends in environmental data.
I also 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.
I’m now working as a postdoc in the Geography department at the University of Bristol analysing data to understand changing sea levels.
SAMBa gave me a broad background in statistics, numerics and modelling and demonstrated how these techniques could be applied to a variety of applications. It gave me confidence that I could take my academic knowledge and apply it to important and high impact questions within environmental areas.
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 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
I can't imagine studying for my PhD anywhere other than SAMBa
The experience and the skill set acquired during my years in SAMBa helped me develop my academic career in a growing inter and trans disciplinary world.
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
SAMBa provided a uniquely supportive yet challenging environment, in which one is encouraged to explore their interests and question their limits
SAMBa offers high level training in statistical and applied mathematical disciplines, as well as direct engagement with industrial partners
The SAMBa team understands how to efficiently bridge the gap between the abstract world of mathematics and statistics to industrial research
The ITTs were invaluable in providing experience in collaborating effectively with others on large projects, understanding and synthesising new information quickly, and liasing with academic leads and commercial partners
(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
