Mathematician, science writer, Venn-diagram enthusiast.
I'm a mathematician and a science writer. I studied mathematics at the University of Edinburgh, before doing a masters in bioinformatics and a PhD in mathematical biology, both at Imperial College London. I enjoy writing articles spanning a variety of topics in the mathematical sciences. When not writing or doing maths, I tend to be found wild swimming, trail running or piano playing.
I graduated with a BSc in mathematics from the University of Edinburgh in 2017. I then moved to London for the Wellcome Trust PhD programme in bioinformatics and theoretical systems biology at Imperial College. I graduated with a PhD in mathematical biology in 2023.
My PhD research combined biofluid dynamics, computational micromechanics and the genetics of behaviour. I was co-supervised by Eric Keaveny in the mathematics department and André Brown who heads the behavioural phenomics lab at MRC LMS. This lab works with the model organism C. elegans. My PhD investigated optimal movement strategies for this and other small, undulatory organisms.
Since 2021, I have channelled my enthusiasm for science and mathematics through writing. I am part of the team behind Chalkdust, "a magazine for the mathematically curious". I write and edit articles for this magazine, which is published on paper twice a year and more regularly on pixels. My Chalkdust articles can be found here.
I also write on a freelance basis. I create popular science articles for mainstream media and craft content for science and tech companies that highlights their accomplishments and advances their missions.
For Smith Institute, this piece calls for explainability in the realm of AI, where understanding is the new currency.
With The Royal Institution, Prof. Yang-Hui He and I talk all things geometry, from Euclid’s axioms to flower petals.
In Chalkdust issue 18, I tell the story of how two mathematicians independently discovered this 42-digit number.
In The Spectator, this article honours John Venn, who pioneered not only Venn diagrams but also frequentist probability.
For Quaisr, this blog post describes how simulations and AI workflows are leading to new discoveries on black holes.
Featured on the cover of Chalkdust 14, this article explores the world's favourite set-relationship-representation diagram.
If you just want to chat, try using Linkedin!
If you want to have a longer conversation or chat about a potential project, send me an email: