Having previously been set on becoming a physicist, I discovered a passion for mathematics during my A-levels. While studying maths at Imperial College London, my interests turned to mathematical statistics. This led me to present work at the Royal Statistical Society conference, and to intern within the Government Statistical Service during my degree.
Since returning to Imperial for a PhD in Statistical Machine Learning, my research has focused on using mathematics to understand biological systems. This has included using diffusion processes to understand the folding of proteins, and currently centers around defining and studying Bayesian phylogenetic models.
Before joining 1729, I had previously tutored both GCSE and A-level students, but the vast majority of my experience has been in teaching mathematics undergraduates. I was a peer tutor during my degree at Imperial College London, running weekly tutorials for small groups of first-year students. Alongside this, I taught at summer schools for maths entrance exams such as Oxford's MAT. Since starting my PhD, I have worked as a teaching assistant for modules across the undergraduate mathematics programme at Imperial.
From my first day teaching at 1729, I was blown away by the passion and aptitude of the Year 9 students. They are a pleasure to work with, and the atmosphere in every class is wonderful. The students welcome the opportunity to study new maths in much greater depth than standard curricula, and it is a privilege to be able to share in their excitement for the subject.