Trystan Leng
answered on 7 Nov 2018:
last edited 7 Nov 2018 4:30 pm
While working as a research assistant in a neuroscience lab, I learnt about how maths can be used to ‘model’ different aspects in the real-world – everything from the neurons in someones brains, to how an epidemic spreads through a population. After this I went to study a masters, on a course called ‘mathematics for real-world systems’. It was here I met the mathematical modellers working on infectious diseases that I work with now. It was after seeing the fascinating research they do, and the potential impact it could have, that I realised I wanted to be a researcher who models the spread of infectious diseases.
During university degrees, often you get to do a research project in a laboratory as part of your course. This means working with a professor working on a specific project. I did this as part of my degrees and I learnt that I enjoyed research science performing experiments. I also didn’t blow anything up which is a positive too! It was again, during my time at university I became particularly interested in the field I am working in now. Molecular microbiology and infectious diseases were some of my strongest topics, I found them really fascinating, there is lots of research to do as there is still so much we don’t know and lastly there are good job prospects for this area.
That is a very interesting question. I think that I realised I wanted to investigate epidemics during the 2014 and 2015 Ebola Virus Epidemic in West Africa. I deployed to Sierra Leone to help fighting this virus in a Hospital for patients with Ebola. It was then when I realised that working with Epidemics was so fascinating. Most important of all, I realised that working with epidemics had the capacity to help so many people!
During my undergraduate degree, I was taught about how we use maths and genetic data to study diseases. At the same time, the Ebola outbreak in West Africa was happening, and I wanted to help! This outbreak is the first big one where we have lots of this genetic data, so it was a great opportunity to develop some new ways of doing science!
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